AMD EPYC 9374F Genoa Zen 4 Linux Performance Tests for a future article by Michael Larabel on Phoronix. ,,"EPYC 75F3","EPYC 75F3 2P","EPYC 7713","EPYC 7713 2P","EPYC 7763","EPYC 7763 2P","EPYC 7773X","EPYC 7773X 2P","EPYC 9374F","EPYC 9374F - Power","EPYC 9374F 2P","EPYC 9374F 2P - Power","EPYC 9554","EPYC 9554 - Power","EPYC 9554 2P","EPYC 9554 2P - Power","EPYC 9654","EPYC 9654 - Power","EPYC 9654 2P","EPYC 9654 2P - Power","Xeon Platinum 8362","Xeon Platinum 8362 2P","Xeon Platinum 8380","Xeon Platinum 8380 2P" Processor,,AMD EPYC 75F3 32-Core @ 2.95GHz (32 Cores / 64 Threads),2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads),AMD EPYC 7713 64-Core @ 2.00GHz (64 Cores / 128 Threads),2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads),AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads),2 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads),AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads),2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads),AMD EPYC 9374F 32-Core @ 4.31GHz (32 Cores / 64 Threads),AMD EPYC 9374F 32-Core @ 4.31GHz (32 Cores / 64 Threads),2 x AMD EPYC 9374F 32-Core @ 4.31GHz (64 Cores / 128 Threads),2 x AMD EPYC 9374F 32-Core @ 4.31GHz (64 Cores / 128 Threads),AMD EPYC 9554 64-Core @ 3.76GHz (64 Cores / 128 Threads),AMD EPYC 9554 64-Core @ 3.76GHz (64 Cores / 128 Threads),2 x AMD EPYC 9554 64-Core @ 3.76GHz (128 Cores / 256 Threads),2 x AMD EPYC 9554 64-Core @ 3.76GHz (128 Cores / 256 Threads),AMD EPYC 9654 96-Core @ 3.71GHz (96 Cores / 192 Threads),AMD EPYC 9654 96-Core @ 3.71GHz (96 Cores / 192 Threads),2 x AMD EPYC 9654 96-Core @ 3.71GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 3.71GHz (192 Cores / 384 Threads),Intel Xeon Platinum 8362 @ 3.60GHz (32 Cores / 64 Threads),2 x Intel Xeon Platinum 8362 @ 3.60GHz (64 Cores / 128 Threads),Intel Xeon Platinum 8380 @ 3.40GHz (40 Cores / 80 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads) Motherboard,,AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,Intel Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH Memory,,256GB,512GB,256GB,512GB,256GB,512GB,256GB,512GB,768GB,768GB,1520GB,1520GB,768GB,768GB,1520GB,1520GB,768GB,768GB,1520GB,1520GB,256GB,512GB,256GB,512GB Disk,,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED Monitor,,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VE228,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VE228,VE228,VE228,VE228 Network,,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS,,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10 Kernel,,6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64),6.0.0-060000rc3daily20220904-generic (x86_64) Desktop,,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3 Vulkan,,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211,1.3.211 Compiler,,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080 ,,"EPYC 75F3","EPYC 75F3 2P","EPYC 7713","EPYC 7713 2P","EPYC 7763","EPYC 7763 2P","EPYC 7773X","EPYC 7773X 2P","EPYC 9374F","EPYC 9374F - Power","EPYC 9374F 2P","EPYC 9374F 2P - Power","EPYC 9554","EPYC 9554 - Power","EPYC 9554 2P","EPYC 9554 2P - Power","EPYC 9654","EPYC 9654 - Power","EPYC 9654 2P","EPYC 9654 2P - Power","Xeon Platinum 8362","Xeon Platinum 8362 2P","Xeon Platinum 8380","Xeon Platinum 8380 2P" "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3566,3706,4088,4076,4125,4217,4053,4248,2877,2862,2981,2985,3205,3171,3302,3321,3240,3219,3380,3395,3646,3659,3830,3855 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,462318,874385,708943,3244103,744533,2962593,777564,2992945,668094,693531,1200576,1259863,1196375,1247960,4006667,4136784,3123990,3179457,5793750,5820929,384408,642711,,2250631 "ASTC Encoder - Preset: Medium (MT/s)",HIB,177.1561,321.9070,233.0601,379.4850,262.0318,450.1093,264.5017,452.1733,215.5316,230.8372,418.8604,418.2686,360.5547,388.5673,548.8479,613.6398,422.0198,480.1885,571.6089,601.3614,148.5962,289.3793,167.0182,320.0845 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,22.2007,43.4562,30.1262,57.7938,33.8884,66.2779,34.1055,65.6141,27.4440,29.3980,56.7799,58.0222,47.5400,50.9369,90.5512,98.4021,56.1994,65.3992,106.6224,122.1151,19.9438,40.3136,22.4801,44.6877 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,2.3227,4.6306,3.2068,6.0529,3.6189,7.2392,3.6271,7.1407,2.8864,3.0885,5.7189,6.1573,5.0295,5.3824,9.6418,10.7069,5.9568,7.0368,11.7394,13.6998,1.9978,4.0998,2.2629,4.5138 "Etcpak - Benchmark: Multi-Threaded - Configuration: ETC2 (Mpx/s)",HIB,7919.456,7726.462,6694.850,6628.311,6689.606,6678.397,6989.997,6926.204,10025.855,10261.004,9377.627,9535.309,8966.411,8976.889,8902.847,8825.794,9257.884,9335.755,9305.670,9232.749,6170.389,6238.490,5532.148,5779.840 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,10.30,8.77,9.21,8.25,9.14,8.32,9.55,8.56,12.39,13.12,10.23,10.83,11.76,11.69,10.34,10.15,11.60,12.06,9.96,10.21,9.01,8.05,8.16,7.96 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.37,0.59,0.48,0.63,0.48,0.64,0.52,0.66,0.48,0.51,0.78,0.81,0.72,0.72,0.85,0.84,0.78,0.83,0.83,0.83,0.28,0.51,0.32,0.53 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.18,0.31,0.24,0.34,0.24,0.35,0.26,0.36,0.24,0.25,0.41,0.42,0.36,0.36,0.46,0.46,0.41,0.45,0.46,0.45,0.14,0.26,0.15,0.27 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,24666.2,37718.9,28571.8,51273.3,31459.2,57031.0,36431.4,43442.8,31313.0,32345.7,49729.9,50013,48513.8,48786.0,81468.5,82034.8,58736.1,63045.5,103903.1,111088.8,12857.1,23539.9,14460.6,26408.3 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,26562.4,41290.0,37205.6,41903.7,42583.6,49895.4,40297.2,49905.7,33187.3,34005.9,51748.6,52223.9,60490.2,61774.2,97269.4,98131.4,75830.9,82117.1,126187.4,137480.4,19709.1,35545.4,22902.9,41319.4 "QuantLib - (MFLOPS)",HIB,3047.1,3094.0,2827.5,2830.5,2684.7,2689.6,2694.3,2668.0,3550.9,3519.4,3498.1,3506.0,3075.1,3089.5,3106.4,3059.9,3028.2,3043.0,3049.8,3030.6,2664.8,2666.3,2521.7,2514.7 "Graph500 - Scale: 26 (bfs median_TEPS)",HIB,538025000,576137000,531725000,713016000,676555000,696955000,716376000,591513000,463574000,475189000,884889000,845032000,799869000,797394000,1115180000,1238540000,887314000,863368000,1342540000,1479590000,646764000,806551000,703700000,844030000 "Graph500 - Scale: 26 (bfs max_TEPS)",HIB,550370000,597565000,546314000,728499000,686802000,725689000,732471000,611172000,471620000,482217000,933051000,957641000,822265000,817075000,1192870000,1297530000,906613000,881729000,1437570000,1594850000,680026000,838693000,717132000,877292000 "Graph500 - Scale: 26 (sssp median_TEPS)",HIB,203644000,268136000,233676000,336248000,265868000,356857000,288658000,298987000,210853000,227740000,390219000,366441000,351607000,354905000,454926000,488130000,417648000,412741000,539862000,600906000,197386000,269303000,204473000,284444000 "Graph500 - Scale: 26 (sssp max_TEPS)",HIB,268160000,329287000,297159000,451023000,341042000,474552000,366923000,375305000,274851000,291161000,489222000,472296000,441522000,444031000,631819000,670721000,527751000,522933000,737889000,838159000,263381000,340368000,273151000,370401000 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,141.46,128.95,,,,,,,120.15,116.48,103.65,101.10,109.32,108.19,165.94,166.46,119.94,111.28,,,,,,141.93 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,68.30,99.41,,,,,,,52.54,50.34,50.79,50.08,50.14,50.28,80.06,79.99,66.81,61.52,,,,,,82.63 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,38.93,27.69,,,,,,,32.58,31.32,20.45,19.53,23.13,22.78,17.48,16.64,23.09,20.40,,,,,,33.27 "OpenRadioss - Model: Bumper Beam (sec)",LIB,90.79,100.54,,,,,,,78.82,76.62,71.95,69.63,71.10,71.04,73.13,72.59,73.76,69.37,,,,,,86.21 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,198.12,138.72,,,,,,,159.51,155.14,114.47,111.69,117.49,117.81,87.78,88.54,103.59,90.85,,,,,,147.10 "RELION - Test: Basic - Device: CPU (sec)",LIB,456.680,228.074,572.309,296.127,566.377,293.342,276.589,147.363,357.777,336.969,182.149,168.593,256.406,250.952,131.595,130.645,247.087,245.025,127.524,127.042,763.196,383.387,716.748,367.123 "WRF - Input: conus 2.5km (sec)",LIB,18209.6,13011.194,16938.433,8626.671,16544.816,8372.93,15435.544,7410.731,11173.78,10997.499,5862.918,7833.068,8834.711,8828.5,4329.903,4503.415,7676.327,7370.388,4070.107,3940.075,20075.501,10633.825,18689.213,10128.151 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,1165,7022,3596,4184,3898,4598,5286,5808,1716,1824,12132,13283,8996,9607,9699,10188,9258,10155,9009,10387,1682,6643,4458,5899 "Numpy Benchmark - (Score)",HIB,529.07,525.03,486.42,479.53,466.89,455.68,492.43,488.61,676.89,678.00,674.34,675.81,592.89,593.13,592.13,591.08,585.06,583.50,586.86,584.26,415.99,412.16,398.58,389.89 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,51.4644,49.0350,,,,,,,65.5841,66.4639,64.5280,66.0063,89.0336,89.0960,88.2018,88.0543,87.5171,89.4985,,,,,,51.5924 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.4241,20.3788,,,,,,,15.2422,15.0404,15.4908,15.1439,11.2257,11.2179,11.3309,11.3500,11.4204,11.1674,,,,,,19.3773 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,102.6633,200.0104,,,,,,,146.3611,159.5468,290.6271,314.8619,262.9633,281.8339,509.1313,557.5457,316.5567,336.6001,,,,,,219.6755 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,155.4710,159.5426,,,,,,,109.1339,100.1362,109.8868,101.4614,121.4346,113.4074,125.4183,114.5609,151.3965,142.3253,,,,,,181.7465 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,95.3994,92.6009,,,,,,,127.5275,129.8408,125.7817,126.5628,172.1843,172.2589,167.0724,168.2531,189.8750,196.1968,,,,,,100.3899 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,10.4761,10.7861,,,,,,,7.8365,7.6971,7.9445,7.8957,5.8020,5.7994,5.9782,5.9369,5.2631,5.0933,,,,,,9.9536 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,202.6647,394.1644,,,,,,,287.3769,308.6656,568.5672,611.7456,520.7500,557.2581,996.3608,1090.9867,626.0423,666.2500,,,,,,450.6223 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,78.8554,81.0147,,,,,,,55.6164,51.7944,56.1998,52.2430,61.3817,57.3992,64.1208,58.5344,76.6033,71.9609,,,,,,88.6710 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,143.4085,142.2802,,,,,,,238.6792,244.9113,237.4495,243.7623,252.5491,255.8293,256.6517,255.7441,192.2420,192.5162,,,,,,224.9226 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,6.9706,7.0245,,,,,,,4.1877,4.0811,4.2091,4.0999,3.9577,3.9067,3.8941,3.9080,5.1998,5.1923,,,,,,4.4379 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,269.4573,534.9572,,,,,,,471.9542,497.8427,925.8900,984.6214,843.3745,879.2210,1615.5102,1739.2595,1014.6151,1133.4095,,,,,,824.3478 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,59.3147,59.7194,,,,,,,33.8544,32.1042,34.5044,32.4464,37.8906,36.3503,39.5498,36.7337,47.2506,42.2857,,,,,,48.4709 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,16.3733,16.0150,,,,,,,16.7993,17.2236,16.6500,17.1175,26.4378,26.5791,26.1090,26.3943,35.5732,37.2535,,,,,,19.6212 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,61.0688,62.4279,,,,,,,59.5208,58.0546,60.0535,58.4123,37.8191,37.6181,38.2946,37.8809,28.1052,26.8375,,,,,,50.960 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,24.2554,47.4261,,,,,,,20.3951,21.2039,40.3526,42.3497,35.6615,36.9788,70.0451,73.5133,42.6917,49.0994,,,,,,47.4697 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,39.5063,37.5061,,,,,,,76.8621,77.3913,75.4439,76.7738,92.6777,93.3430,91.5041,90.9425,101.6539,102.6488,,,,,,77.0787 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,25.3025,26.6528,,,,,,,13.0039,12.9146,13.2465,13.0163,10.7833,10.7061,10.9209,10.9903,9.8328,9.7375,,,,,,12.9658 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,98.9355,185.5587,,,,,,,207.7031,226.5129,399.4904,436.6723,329.1167,358.4294,629.1132,694.6178,401.1991,428.4426,,,,,,217.4148 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,161.3668,171.9144,,,,,,,76.9260,70.5512,79.9510,73.1572,97.0949,89.1254,101.5081,91.9435,119.4099,111.7465,,,,,,183.8840 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,85.1427,84.5982,,,,,,,130.6306,134.0021,130.3019,133.8439,189.2636,189.9275,188.0385,189.7306,192.3056,199.5845,,,,,,119.6345 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,11.7404,11.8133,,,,,,,7.6508,7.4583,7.6699,7.4663,5.2790,5.2608,5.3134,5.2659,5.1960,5.0062,,,,,,8.3483 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,136.8697,268.0086,,,,,,,220.4350,235.4674,432.6680,466.1283,364.7039,388.3238,710.8981,776.2980,447.5468,499.7481,,,,,,333.6070 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,116.7721,119.1089,,,,,,,72.4846,67.8855,73.8120,68.5354,87.5625,82.2885,89.8065,82.2592,107.0059,95.8519,,,,,,119.7508 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,16.3491,16.0120,,,,,,,16.7524,17.2408,16.6580,17.1229,26.4448,26.4905,26.1401,26.2848,35.6636,37.1517,,,,,,19.5877 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,61.1590,62.4394,,,,,,,59.6876,57.9969,60.0242,58.3938,37.8098,37.7443,38.2484,38.0388,28.0351,26.9111,,,,,,51.0470 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,24.2212,47.5579,,,,,,,20.4156,21.2227,40.4444,42.3642,35.6897,36.9625,69.6170,73.1169,42.5205,48.9753,,,,,,47.5562 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,,,,,,,,784.2157,754.2772,791.2049,754.8402,,,,,,,,,,,, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,,,,,,,,783.5335,753.4523,790.8851,754.7786,,,,,,,,,,,, "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,4.358,7.601,5.164,8.318,5.772,10.072,7.165,11.216,6.014,6.685,11.381,11.789,9.641,10.345,17.104,18.382,11.147,12.956,18.686,19.834,4.388,8.656,4.980,9.021 "High Performance Conjugate Gradient - (GFLOP/s)",HIB,19.6243,37.8596,19.1265,37.2515,19.1215,37.3185,19.7118,38.2397,45.2295,45.3593,85.8041,62.8141,42.8123,45.3045,83.6100,58.1732,45.2239,44.4793,86.0238,87.1595,20.1763,39.9621,20.6689,40.7669 "NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,98277.99,199380.33,127746.66,232312.47,133198.16,252416.39,166563.21,369239.47,133764.89,135655.16,302441.14,311701.67,235197.75,237735.42,463499.49,462177.87,267319.17,274024.34,500990.52,543554.45,95180.72,194987.49,115359.20,193069.48 "NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,3230.69,6159.65,4531.17,8241.13,4982.82,9241.56,4968.98,9285.18,4655.96,4847.65,8597.99,8644.15,7198.90,6940.40,12851.16,12962.47,8633.62,9551.94,16424.61,18773.11,3979.08,7622.71,4390.98,7976.70 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,3238.91,6374.82,4871.16,9336.77,5300.77,10333.19,5491.62,9921.73,4944.16,5107.67,9598.66,9871.09,8634.10,8887.57,16197.05,16347.89,11335.94,12299.79,20121.23,21722.65,4181.13,8264.36,4636.72,8647.74 "NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s)",HIB,61146.13,105557.99,61089.33,116524.99,60945.14,118231.73,64733.33,127733.49,101051.95,106298.17,167302.05,175006.75,124561.13,127498.51,234088.25,234367.13,121799.77,125326.19,215057.58,222687.11,56879.46,97993.30,56704.82,99537.68 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,121293.26,267834.17,135885.31,258224.35,144112.86,287345.28,255823.48,392397.67,178620.95,182292.81,369899.70,375205.23,254430.04,253395.11,471697.13,473377.17,274263.37,272077.94,490393.91,507823.13,97670.64,188856.06,97758.15,185454.54 "NAS Parallel Benchmarks - Test / Class: SP.B (Mop/s)",HIB,83421.88,159375.74,90065.57,134888.06,88708.75,136460.44,135254.12,163786.88,113580.45,115893.49,204821.69,204945.37,164817.94,167629.48,222846.94,214561.41,162758.97,168014.13,219454.01,238644.03,48063.40,111259.33,49434.69,119784.28 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,50624.72,113978.98,51976.91,113107.52,51889.31,114669.27,89188.95,230050.33,90383.72,91632.64,205350.61,205279.65,119972.76,120312.32,241831.07,239623.83,125438.45,126790.36,257843.16,263182.48,35288.04,89186.77,37710.58,90535.96 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,2641.00,4413.49,2672.58,4763.44,2695.00,4729.63,2838.04,5165.19,4256.53,4256.79,5727.13,6022.80,4878.23,4895.84,7690.07,8001.12,4888.52,4941.75,7694.93,8041.38,2191.66,2891.84,2274.13,2798.30 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,56330.80,102839.19,57128.29,100065.12,57200.16,98920.03,60128.52,123247.08,122095.90,122454.58,213628.28,216947.07,125660.14,128432.87,233220.37,232995.13,120349.96,121727.31,197332.18,202432.69,55604.70,116706.64,57809.35,118435.74 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,30040.20,42579.32,23979.79,47508.34,24379.67,46814.82,40140.36,51069.45,42789.42,45220.68,65076.71,65675.11,45631.34,46439.60,82493.40,81468.95,54251.02,55458.39,79107.08,82256.89,22162.94,37782.16,22812.43,39249.47 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,60.445,33.000,46.158,26.916,42.244,23.950,43.779,25.193,52.825,48.289,28.923,26.147,32.553,29.781,18.721,17.089,28.609,24.489,16.625,14.676,86.920,48.114,78.720,44.824 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.58459,0.30850,0.45521,0.26727,0.38226,0.22418,0.37636,0.22366,0.48463,0.45244,0.25046,0.22964,0.28101,0.26207,0.17214,0.15564,0.24798,0.22157,0.12797,0.11211,0.60335,0.30429,0.54442,0.28669 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,1.17526,0.698392,0.936288,0.632210,0.863593,0.627969,0.836359,0.593235,0.925729,0.884814,0.573134,0.550093,0.595116,0.586275,0.439175,0.442635,0.670970,0.611600,0.525458,0.476241,1.59685,2.25686,1.47947,1.52642 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.60420,1.29843,1.59574,0.793824,1.57766,0.796595,0.933818,0.714856,0.396460,0.365144,0.270187,0.264425,0.280237,0.261029,0.289708,0.282014,0.285820,0.281104,0.381155,0.341806,1.49996,1.98163,1.40306,1.22751 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.94920,2.08918,3.20241,3.74247,3.17891,3.83266,3.21771,3.75978,1.52588,1.48326,1.04713,1.01633,1.12008,1.11574,0.759754,0.745265,1.14318,1.08959,0.984734,0.938707,1.63983,1.005595,1.56199,0.928917 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,1.17455,0.687495,,,,,,,0.926150,0.883680,0.575132,0.552966,0.597698,0.585913,0.439404,0.438693,0.669803,0.610119,0.529838,0.488721,1.61193,2.26350,1.47433,1.42048 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.60339,0.967021,,,,,,,0.400582,0.367690,0.277574,0.262482,0.281845,0.260069,0.294229,0.284125,0.290728,0.275194,0.382159,0.351182,1.51872,2.00582,1.40465,1.16224 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,,,0.621381,0.600528,0.399543,0.381487,0.400531,0.397186,0.359965,0.352990,0.394456,0.375184,0.441567,0.386561,4.70886,2.38743,4.10121,2.12788 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,6.67,11.10,8.97,15.80,9.74,16.01,10.36,17.41,23.89,24.75,46.47,47.95,41.63,42.87,82.01,83.26,50.06,53.51,102.38,109.78,10.82,21.84,12.05,23.93 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,2386.41,1432.86,3554.86,2018.73,3238.66,1982.52,3059.08,1821.21,668.87,644.48,343.72,333.40,766.80,744.44,389.27,383.87,955.51,890.80,468.17,435.80,1466.52,730.17,1645.06,831.48 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,18.35,37.01,24.58,50.20,27.67,57.38,27.04,54.96,45.81,47.74,87.95,90.59,80.62,83.27,156.27,158.29,96.87,103.49,194.03,212.43,38.48,73.30,42.69,82.00 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,22886.83,43222.99,32070.12,59879.34,33814.38,64899.71,35966.80,68270.41,70968.25,75388.80,124281.62,138227.70,97379.56,99729.06,161378.10,161750.11,112325.82,118385.58,144811.67,166260.62,24550.40,51258.54,28673.99,59056.82 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.39,1.47,1.98,2.11,1.88,1.95,1.77,1.85,0.44,0.42,0.47,0.45,0.52,0.51,0.51,0.51,0.65,0.62,0.54,0.52,1.29,1.23,1.37,1.33 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,41209.65,79094.25,51141.57,101816.87,55150.32,106094.98,57873.68,108150.75,86213.17,90284.47,145700.25,160124.63,132051.79,133585.43,175383.10,171196.42,149560.47,159812.84,166269.03,173823.44,48059.01,108301.83,56565.01,118721.53 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.77,0.79,1.04,1.09,0.98,1.01,0.90,0.96,0.31,0.29,0.32,0.31,0.37,0.36,0.35,0.35,0.45,0.43,0.36,0.36,0.60,0.57,0.63,0.59 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,5.29,9.82,6.79,13.01,7.59,14.39,7.97,15.26,13.51,14.04,21.72,23.60,23.07,23.90,36.22,37.16,27.74,29.74,38.04,41.74,6.18,11.88,6.89,13.18 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2995.55,1613.85,4623.96,2425.01,4151.95,2191.23,3956.74,2067.02,1176.03,1130.57,732.72,674.95,1373.83,1326.74,878.55,855.64,1714.98,1597.31,1253.98,1142.24,2557.14,1336.05,2868.21,1502.67 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,5.28,9.81,6.78,12.84,7.58,14.38,8.02,15.12,13.48,13.86,21.89,23.40,23.12,23.84,35.97,37.60,27.55,29.68,37.95,41.21,6.08,11.67,6.74,12.97 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,3000.17,1616.40,4633.47,2453.37,4147.58,2191.71,3931.31,2084.77,1178.75,1144.65,727.81,680.08,1372.74,1330.39,884.80,846.31,1722.48,1598.26,1256.41,1157.04,2594.30,1359.69,2916.12,1527.18 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1811.34,3788.71,2458.72,5276.79,2756.76,5931.55,2664.49,5735.05,4655.63,4866.38,9148.24,9440.48,8228.70,8512.58,16203.41,16421.67,9842.93,10601.83,19812.09,21859.02,4023.35,8569.85,4465.68,9597.93 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,770.45,1488.56,1029.06,1909.81,1126.90,2136.93,1195.39,2407.71,2362.14,2446.25,4563.79,4707.04,4165.02,4279.78,8090.58,8198.28,5004.25,5329.57,9979.66,10858.90,1118.62,2186.18,1234.66,2408.31 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,20.75,10.73,31.07,16.66,28.38,14.88,26.75,13.27,6.76,6.53,3.49,3.39,7.67,7.47,3.94,3.89,9.58,9.00,4.79,4.41,28.57,29.08,32.35,32.97 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,1257.26,2400.26,1694.53,3317.72,1901.21,3748.34,1864.66,3659.99,2956.02,3216.22,5130.43,5307.93,4978.42,5429.94,9148.55,9215.52,6003.73,6582.28,11178.65,12490.17,1976.25,3873.02,2255.59,4360.68 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,776.79,1497.62,945.34,1904.67,1060.63,2173.49,1204.49,2336.77,1901.00,2066.64,3661.47,3792.45,2847.39,2880.48,6063.84,6310.01,3426.69,3414.62,7435.72,8084.61,522.87,1027.01,551.20,1112.38 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,20.58,10.67,33.82,16.78,30.14,14.70,26.55,13.68,8.41,7.73,4.36,4.21,11.23,11.10,5.27,5.06,13.99,14.04,6.44,5.93,30.56,15.55,36.22,17.94 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,1128.76,2023.85,1520.03,2682.29,1637.96,2914.32,1876.12,3202.24,2862.10,3038.97,4177.55,4394.80,4762.61,4936.15,7395.02,7429.47,5763.31,6138.92,9010.78,9661.33,984.42,1727.84,1127.83,2007.14 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,14.16,7.89,21.03,11.91,19.51,10.96,17.04,9.98,5.58,5.26,3.82,3.63,6.71,6.48,4.32,4.30,8.32,7.81,5.32,4.96,16.22,9.22,17.70,9.94 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,89.82,174.06,116.91,223.15,131.27,254.03,140.19,275.03,266.12,281.30,481.55,493.82,449.76,470.91,792.53,808.16,547.98,590.08,973.45,1037.28,123.56,205.84,140.24,230.22 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,177.91,91.84,273.28,143.18,243.26,125.80,227.77,116.19,60.08,56.84,33.20,32.38,71.08,67.89,40.34,39.56,87.52,81.27,49.26,46.23,129.37,77.55,142.37,86.60 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,,,,,,,,,348.36,334.49,181.61,176.32,,,,,,,,,,,, "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,,,,,,,,,6.86,6.57,6.95,6.73,,,,,,,,,,,, "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,,,,,,,,,5.40,4.97,3.11,3.01,,,,,,,,,,,, "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,20316.2,39616.3,20056.1,39243.6,22333.2,44039.5,32294.8,62354.4,24999.5,26239.6,49980.1,51534.4,31647.3,31335.5,60853.9,62047.3,42366.7,46081.4,83966.6,88708.8,7391.67,14994.5,8766.09,17075.8 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,22500.1,43745.3,20855.8,41026.9,23153.2,44983.2,34048.4,66651.4,30576.1,33504.8,63650.0,67221.3,37485.1,37265.9,71171.8,74093.3,47485.2,51341.3,93531.7,98935.0,8603.52,17349.3,10092.1,19582.5 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,11.788436,21.431224,20.734280,32.626438,23.482450,38.905788,29.460843,51.046913,16.080698,16.308189,29.838690,30.738937,30.034727,30.126658,54.666234,54.567479,39.149680,43.953395,70.482754,80.404374,12.126968,23.028985,13.496946,24.639771 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,8.277237,4.396425,6.100938,3.631628,5.812808,3.484325,5.419712,3.300578,6.269066,6.188928,3.367687,3.195969,4.023470,3.919148,2.374382,2.375619,3.763021,3.382516,2.422264,2.146766,13.75494,6.488374,12.00682,4.845815 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,14.19992,7.652095,11.31845,5.691778,10.160930,5.500317,9.518781,5.124529,11.51770,11.14609,6.076708,5.904679,7.065542,6.936430,3.832093,3.816929,5.846230,5.211232,3.512603,3.053326,27.34118,16.74079,26.16118,15.72077 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,1023022333,1925362667,1014254000,1917570000,1014445000,1929891667,1057050667,1998897333,2346173000,2350654600,4265216400,4340174800,2353380000,2355505667,4258717333,4279539333,2333430333,2341996333,4358309667,4414763333,1067806333,2067115333,1081131000,2065741000 "LULESH - (z/s)",HIB,19112.562,30531.613,19643.918,37996.487,19943.085,38255.507,22729.594,43886.000,24768.721,25315.013,51738.127,53659.591,30166.916,30428.093,59398.786,60173.869,29508.590,30521.118,58017.068,59160.899,18713.272,35687.899,18563.481,34993.468 "NWChem - Input: C240 Buckyball (sec)",LIB,3144.7,1696.8,2314.2,2079.6,2203.9,1999.1,2053.3,1866.5,2444,2320.2,1320.5,1287.7,1456.1,1441.5,1341.8,1309.8,1550,1391,1534,1355.8,3956.7,2176.3,3453.2,2190.6 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,28.288449,24.441328,,,34.493903,31.557736,28.9386,30.640099,20.482898,19.755769,21.363074,20.479357,22.837682,22.85391,21.930327,22.286281,25.942655,23.190278,31.670367,,37.18473,30.940326,35.639242,39.474281 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,56.05969,35.1949,,,48.352201,35.335965,40.05178,30.350772,43.104089,41.134779,26.052598,24.940557,31.211061,30.319236,20.980166,21.195287,28.518947,25.137946,22.878939,,85.970645,44.506033,74.864301,41.023517 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,143.30972,131.08672,,,161.85459,154.21301,126.71018,147.74093,103.47257,101.25902,96.948747,89.100739,102.78395,110.84398,109.41715,106.44464,131.29312,120.41782,129.43681,,177.05835,156.8306,173.54105,175.08016 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,666.22446,310.67603,,,627.96949,277.12759,365.76196,166.29673,373.93992,371.51249,169.18708,171.62016,297.86891,298.39415,129.80527,129.17377,246.66078,237.93748,111.56745,,864.64243,399.33366,794.72984,362.6925 "Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,5.63562012,3.28871903,5.03929220,3.08943621,5.17996677,3.13147511,4.38225862,2.24685712,3.41116059,3.32633135,1.84517629,1.81213506,2.54647279,2.48146391,1.49829830,1.51555521,2.28903530,2.24137110,1.48172070,1.44810847,5.99175715,2.90179335,5.33026232,2.61658181 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,23.3064779,11.3138807,21.8494053,11.0147963,21.8095589,11.0087018,16.8753561,9.50778993,12.0494264,12.1157595,5.98610687,5.89156644,9.56905289,9.59882088,4.96696207,4.95660475,8.22620277,8.07779980,4.36289297,4.29938201,26.4537697,12.2476361,23.9661535,11.1460171 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,624.498372,383.386047,602.444844,298.322428,603.535645,297.434947,573.313762,265.938090,322.989909,319.909353,159.467219,269.877109,268.578237,268.650238,134.334381,133.955037,254.854207,253.414098,125.387578,124.231038,588.062948,312.028646,556.325094,296.317108 "GPAW - Input: Carbon Nanotube (sec)",LIB,79.554,55.170,73.430,44.229,69.894,42.511,59.854,38.203,54.856,52.325,34.010,31.530,40.291,39.220,24.651,23.501,35.834,32.551,23.150,21.010,83.279,48.874,77.794,46.776 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,1218318.313094,2438301.750753,1824524.476062,3659583.240651,1876249.144907,3706923.161931,1987443.329446,3867411.271855,1679741.985553,1727034.470148,2367509.990069,2494678.320841,2950220.282095,2930510.789471,6009403.021488,6023637.431132,3753920.392943,4111551.581327,7536121.006239,8413564.078089,1055949.562898,2006324.376077,1177693.059635,2375492.463016 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,14.419,10.384,13.623,10.396,12.594,10.097,12.204,9.939,10.975,10.594,8.052,7.873,9.162,8.947,7.795,7.676,8.765,8.414,7.697,7.493,18.012,11.910,16.645,11.835 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,276829,416644,358505,525654,386411,582384,403718,547385,342896,351046,509195,527796,545728,551395,752608,762777,658923,700085,871440,890889,216263,364730,242466,397534 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,247250,471378,351178,633847,385205,719323,412150,748109,295537,304904,565323,573703,523531,524476,943273,947566,652970,741536,1166359,1332056,166227,331746,187642,362466 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,219.944,135.102,186.433,121.478,167.054,112.582,159.222,108.524,162.775,156.948,101.384,99.053,117.756,115.771,83.338,81.680,105.192,97.624,74.648,71.325,267.732,159.491,239.576,149.596 "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,274.028,199.539,258.753,212.670,244.613,210.123,232.081,201.370,213.616,207.956,158.031,156.893,180.478,178.753,159.739,159.932,171.120,167.351,158.694,157.879,324.082,223.507,295.903,222.623 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,95.1,94.7,84.8,82.2,85.0,80.1,103.6,107.6,108.5,111.9,106.1,108.4,103.3,102.1,103.3,102.9,106.1,107.3,108.4,107.8,83.7,87.1,82.4,86.2 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,3754.7,3727.8,3538.0,3492.2,3328.4,3336.6,3378.4,3343.3,4292.8,4281.8,4309.3,4278.9,3926.0,3837.0,3870.9,3843.5,3798.1,3852.8,3797.6,3779.6,2982.5,2828.9,2815.9,2731.2 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,94858095,182958960,138377960,246888854,159120297,291595066,156507344,291760604,121726174,123799838,210118141,213242940,209533141,212598823,368462801,373466857,249175879,280313823,368919863,397046539,76999877,144818313,87974578,163269037 "m-queens - Time To Solve (sec)",LIB,19.182,9.793,12.794,6.659,12.304,6.443,11.281,5.915,16.935,16.443,8.613,8.404,9.619,9.566,5.016,5.029,7.988,6.953,4.217,3.738,27.391,13.522,24.578,12.571 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,40.415,27.694,35.863,26.122,32.611,24.673,31.919,24.148,30.298,29.480,21.427,20.779,24.730,23.878,19.139,18.791,23.605,22.509,18.997,18.229,46.666,30.626,43.379,29.950 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,390.394,219.455,312.938,184.694,267.499,160.015,263.289,155.910,279.092,269.029,160.952,151.408,185.805,179.860,113.172,109.239,173.105,158.318,107.136,98.284,461.538,250.886,409.149,229.486 "Sysbench - Test: CPU (Events/sec)",HIB,154204.56,307896.27,252327.02,500770.94,252773.24,503926.60,265046.14,528491.57,169611.50,177030.14,338493.40,354054.71,309133.88,309102.11,615405.64,615220.30,446395.22,457526.55,896449.81,910333.64,99997.31,200101.40,107244.82,214410.59 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,37.46,50.01,37.05,55.77,39.08,56.98,41.75,55.08,53.09,54.18,65.48,66.54,62.33,62.13,73.37,74.70,76.67,77.05,71.57,71.57,29.36,40.10,27.55,39.82 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,703,1093,934,1289,1036,1446,1039,1456,745,771,1224,1254,1216,1239,1756,1737,1429,1665,1923,2080,560,998,617,1064 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,387,643,511,760,582,858,595,875,413,431,712,731,697,704,1102,1114,843,999,1183,1393,317,579,348,628 "Tachyon - Total Time (sec)",LIB,42.4559,21.4287,31.1600,16.3356,27.7869,14.1652,28.5036,14.6966,34.7183,32.5936,17.7884,16.5169,19.9688,18.8063,10.4833,9.8306,16.7586,14.6145,8.8633,7.9829,55.5577,27.4718,49.3315,24.8988 "C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,17.154,8.808,12.350,6.357,10.953,5.576,11.010,5.782,15.107,14.618,7.744,7.516,8.541,8.572,4.723,4.491,6.662,5.804,3.780,3.361,25.077,12.554,22.186,11.264 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,41.50,22.13,30.41,17.00,26.96,14.27,27.53,14.61,31.66,29.89,16.78,15.59,18.39,17.45,10.01,9.26,15.63,13.59,8.43,7.50,51.42,25.80,45.60,23.71 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,106.72,55.60,77.11,41.29,68.17,35.06,70.57,36.39,80.11,75.39,41.99,38.32,46.00,43.27,24.43,22.30,38.72,33.39,20.12,17.66,136.41,67.57,120.92,61.32 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,52.40,28.14,39.04,22.03,34.51,18.49,34.97,18.70,41.04,38.62,22.15,20.19,24.00,22.59,13.49,12.32,20.47,18.05,11.50,10.54,68.08,34.34,60.84,31.34 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,130.99,69.48,96.20,53.99,85.51,44.08,87.40,45.22,101.01,94.77,53.02,48.85,58.18,54.76,31.11,28.57,48.89,43.03,25.71,23.48,170.47,84.55,150.59,76.24 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,417.99,222.68,300.10,171.98,264.87,142.26,266.64,140.20,300.54,285.76,164.15,153.77,172.18,164.66,97.97,89.46,143.31,127.11,81.56,73.39,538.81,274.88,471.45,243.75 "POV-Ray - Trace Time (sec)",LIB,13.369,8.233,10.506,7.689,9.695,7.298,9.667,7.183,11.396,10.880,7.114,6.644,7.445,7.145,5.851,5.733,7.178,6.578,6.035,5.673,17.434,9.930,15.841,9.544 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,52.238,40.668,47.920,43.526,45.398,43.074,42.814,38.991,40.654,39.912,32.419,31.552,34.529,34.200,32.597,32.969,33.258,32.447,33.778,33.337,63.045,44.676,59.199,45.765 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,45.9304,68.0397,63.1117,68.6558,71.1484,73.6071,80.6459,100.0406,55.6777,56.7032,88.8497,92.6786,98.4376,100.1594,160.2382,163.8339,120.7582,137.9317,193.2519,210.0365,35.7996,69.9860,41.9749,79.5733 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,40.9110,73.1085,51.8896,89.4733,63.1869,111.9432,68.8597,127.8497,49.7701,52.0480,86.8682,89.2448,85.5588,89.3090,141.6380,147.8460,102.9719,115.5432,175.9009,202.5848,30.9409,57.6542,35.0865,61.8977 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,41.4858,64.5580,56.8681,67.3008,66.0878,68.2643,72.2304,94.1002,62.7241,65.4896,102.8936,107.5989,111.6993,116.1040,176.3458,178.9679,136.1056,154.6357,213.2526,232.4008,49.5669,89.0984,55.8676,105.2100 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,37.3229,67.2069,47.9181,82.5717,58.1697,101.5687,63.4739,116.0755,53.7582,56.8494,92.7002,95.6508,91.7173,96.7897,149.0219,157.1718,109.9161,123.6227,182.4798,212.1716,38.7632,68.3643,43.0639,73.7839 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 (Images / Sec)",HIB,1.12,1.88,1.41,2.25,1.65,2.56,1.65,1.94,1.57,1.64,2.66,2.73,2.67,2.73,3.84,3.91,3.04,3.33,3.57,3.70,1.59,2.71,1.74,2.89 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 (Images / Sec)",HIB,1.12,1.89,1.41,2.27,1.65,2.57,1.66,1.96,1.57,1.64,2.65,2.72,2.67,2.73,3.82,3.89,3.05,3.33,3.57,3.69,1.60,2.72,1.74,2.89 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 (Images / Sec)",HIB,0.56,0.94,0.70,1.11,0.81,1.26,0.82,0.95,0.75,0.78,1.25,1.28,1.26,1.29,1.81,1.84,1.44,1.58,1.69,1.77,0.76,1.30,0.83,1.38 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,6.15,9.74,8.33,12.74,9.47,13.76,9.45,13.72,7.69,8.20,11.76,12.23,12.86,13.60,17.68,21.53,14.31,17.07,17.66,23.01,4.92,7.98,5.63,8.80 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,9.19,15.76,12.49,18.49,13.91,21.76,13.43,21.23,11.38,12.01,17.61,17.72,18.50,18.63,25.82,26.85,21.49,23.62,29.13,30.79,7.79,12.67,8.79,14.23 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,5.74578,10.4137,7.85484,13.4180,9.05040,16.4095,9.14710,16.3969,12.3520,12.8485,22.0194,22.4862,21.5223,22.0230,37.0464,37.9524,26.5320,30.5560,43.9643,51.7071,9.55766,18.7830,10.8400,20.8619 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,8.84111,16.4718,12.2406,21.3887,13.8682,25.9482,13.8114,25.6820,14.5283,15.3505,27.3766,28.4871,25.6980,26.4481,46.0312,48.0591,31.1664,36.3203,54.2093,64.1441,11.9921,23.1910,13.3799,25.3328 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,3478,1853,2464,1397,2171,1137,2125,1101,2327,2209,1259,1191,1289,1240,717,667,1060,916,579,503,3003,1492,2603,1333 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,61287,29634,39631,22287,35029,18319,34169,17605,37115,35387,20202,19075,20623,19898,11454,10640,16971,14722,9256,8043,48204,23834,41655,21309 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,117436,65291,85202,44894,76200,36625,74550,35270,78530,75172,40354,38206,41316,39777,22971,21323,33978,29445,18567,16134,101492,47738,89020,42753 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,3558,1901,2494,1422,2195,1158,2140,1134,2368,2259,1286,1225,1310,1262,731,683,1071,926,600,510,3036,1509,2622,1350 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,62092,30313,40095,22769,35372,18614,34424,18019,37942,36054,20479,19516,20946,20230,11646,10889,17162,14926,9375,8172,48613,24058,41940,21525 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,119256,66469,85606,45701,77108,37232,74833,36025,80499,76664,40961,38956,41738,40406,23309,21776,34323,29715,18823,16356,102068,48349,89385,43126 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,4140,2205,2934,1649,2582,1350,2517,1303,2794,2657,1509,1436,1537,1483,859,799,1263,1095,693,603,3595,1781,3105,1594 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,72153,35221,47147,26852,41538,21718,40556,20876,44732,42549,24084,22872,24607,23782,13690,12789,20228,17569,11055,9597,62896,28432,49610,25437 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,138034,75886,99775,53386,89230,43415,86930,41907,94150,89386,48185,45586,49152,47638,27438,25561,40492,35059,22083,19215,119989,62545,105213,50891 "Build2 - Time To Compile (sec)",LIB,64.889,56.155,67.290,60.773,65.558,60.855,63.126,59.369,50.908,49.807,45.227,44.336,50.863,50.706,48.320,48.491,50.602,49.527,48.776,48.726,75.890,62.482,74.716,64.547 "Timed CPython Compilation - Build Configuration: Default (sec)",LIB,17.001,16.638,18.75,18.12,19.015,18.865,18.748,18.792,13.817,13.773,13.786,13.685,15.462,15.496,15.472,15.446,15.585,15.626,15.64,15.707,18.917,18.243,19.699,19.073 "Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,264.133,263.873,286.227,283.866,298.366,298.901,292.42,292.804,223.808,222.856,223.832,224.872,251.679,251.211,253.335,253.273,254.585,254.613,255.748,255.695,293.083,290.633,306.34,307.757 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,188.033,157.73,196.925,162.225,188.631,161.435,178.794,154.929,153.616,150.367,135.400,134.272,150.766,148.969,135.992,134.832,146.312,141.439,137.084,135.257,225.736,183.395,211.950,183.949 "Timed Mesa Compilation - Time To Compile (sec)",LIB,26.156,22.751,27.752,24.617,26.865,24.953,26.375,24.539,20.161,19.686,18.349,18.009,20.789,20.568,19.806,19.796,20.770,20.377,20.250,19.939,30.795,26.091,31.007,26.825 "Timed Node.js Compilation - Time To Compile (sec)",LIB,229.165,152.419,203.226,141.321,186.250,135.210,177.628,130.041,171.618,166.351,116.910,114.320,133.199,132.316,100.258,99.650,123.426,117.062,98.508,95.414,279.479,178.619,257.118,173.991 "Timed Wasmer Compilation - Time To Compile (sec)",LIB,46.077,45.815,52.016,51.351,52.900,53.113,49.680,50.327,36.549,36.270,36.663,36.601,40.098,40.175,40.723,40.864,40.453,40.405,41.093,41.442,47.410,46.739,48.685,48.328 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,91.9,91.2,101,98.2,103,105,103,103,76.7,75.5,76.5,74.7,87.0,86.8,86.6,87.3,88.2,87.4,90.1,89.5,104,104,110,111 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,36.8,36.9,39.9,39.8,42.2,41.8,42.1,42.1,31.3,31.3,31.2,31.3,36.0,36.0,35.8,35.7,36.3,36.5,36.1,36.2,41.8,41.9,44.3,44.3 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,19.6,19.5,21.3,21.5,22.5,22.3,22.3,22.5,14.2,14.2,14.2,14.3,16.3,16.3,16.5,16.4,16.6,16.7,16.5,16.6,21.4,21.4,22.6,22.6 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,143,143,156,156,164,163,163,164,99.6,99.8,99.8,99.8,115,114,114,115,116,116,116,117,160,160,169,169 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1856000000,1949233333,1591600000,1594933333,1590000000,1598066667,1679333333,1670933333,2489933333,2649400000,2613000000,2650000000,2319266667,2308200000,2317400000,2311866667,2268800000,2284300000,2282066667,2281500000,1568333333,1770300000,1552466667,1696333333 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2024033333,3686200000,2578033333,3184700000,2810400000,3187000000,2844933333,3338000000,2558033333,2781700000,4917133333,5262233333,4349733333,4612933333,4614166667,4625400000,4054500000,4547533333,4564800000,4551866667,1309500000,2986100000,1611666667,2930033333 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2045966667,4030766667,2720500000,5105933333,3033300000,5593866667,2963733333,5597333333,2581533333,2806100000,5050200000,5557266667,4435766667,4854166667,8545966667,9226733333,5174800000,6182900000,8048400000,9107033333,1331866667,2636866667,1491366667,3079533333 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2165866667,4101633333,2781400000,5383866667,3093166667,6047133333,3040433333,5852900000,2726533333,2957566667,5103433333,5660600000,4512600000,4948166667,8713666667,9696366667,5193466667,6140266667,10334333333,12204333333,1405466667,2722233333,1561866667,2970366667 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,157.8,158.5,146.0,145.1,137.3,138.0,138.6,138.3,194.0,192.9,194.2,192.1,168.1,169.0,168.0,168.7,166.6,166.6,165.2,166.3,126.4,125.2,118.1,116.1 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,165.9,164.3,152.6,151.8,142.8,143.8,144.2,144.3,201.3,201.0,200.7,200.9,175.1,175.6,174.0,175.5,172.8,172.1,173.2,173.1,146.6,147.1,142.3,140.9 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,147.0,147.5,135.4,134.6,128.1,128.5,129.8,128.4,184.8,184.2,183.3,183.3,160.4,160.9,160.1,159.6,158.5,158.4,158.6,158.1,133.7,132.3,110.2,120.7 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,156.1,154.9,143.3,142.2,135.8,136.0,136.4,137.0,194.0,192.7,193.4,193.4,169.3,169.1,168.5,168.9,166.2,166.4,166.1,166.7,137.3,138.9,135.2,125.7 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,138.2,139.1,127.5,127.8,121.6,121.8,121.7,121.9,162.9,162.6,162.6,162.3,141.9,141.6,141.7,141.0,139.4,139.8,139.3,138.8,122.0,123.0,113.1,111.3 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,68.1,68.1,62.8,62.5,59.6,59.5,59.8,59.9,109.9,110.0,109.8,109.9,95.9,95.9,93.4,95.6,92.2,94.5,94.9,94.4,78.0,77.4,72.6,71.4 "srsRAN - Test: OFDM_Test (Samples / Second)",HIB,148066667,147700000,134557143,136493333,130106667,127480000,128766667,130344444,191433333,191533333,189666667,190466667,164566667,166800000,166666667,164166667,162000000,161236364,158633333,163766667,143166667,143266667,135233333,136166667 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,8401.6,16807.9,12612.1,24998.0,13287.5,26521.8,13762.3,27127.8,9741.7,10051.2,19482.3,20107.8,17536.0,17546.1,34900.0,35088.9,22205.3,25901.8,44516.7,51406.6,7690.3,16041.5,8462.5,17391.5 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,546929.9,1093482.1,823890.5,1633628.1,867678.4,1728763.7,902005.3,1780874.6,633061.2,654668.6,1265197.7,1302730.3,1141402.4,1141575.6,2282702.1,2282801.7,1463630.7,1689673.1,2936111.9,3369633.3,519444.7,1068009.0,588480.5,1180376.6 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,45499341367,90974009323,65206014577,128616636900,74358249567,148797141130,74013930600,146456411990,57764147830,59529928593,115594067383,118266466560,103690964737,103745920213,205408037813,205338727447,125979444607,143163470057,251511273853,284499818607,25151039647,51417167977,28538883087,57267221813 "Node.js Express HTTP Load Test - (Reqs/sec)",HIB,5971,5280,5438,5019,5236,4912,5175,4899,8554,8544,8145,8025,7846,7884,7453,7500,7829,7780,7508,7474,7085,6778,6671,6245 "PHPBench - PHP Benchmark Suite (Score)",HIB,793816,802341,730550,730528,702291,691655,697059,696203,990040,996388,996074,995163,855637,862102,876214,849730,843665,843411,847129,846790,859511,866491,816743,816968 "ebizzy - (Records/s)",HIB,2016627,2868278,2393917,3151425,2345395,3061051,2585316,3130176,2659321,3238087,3635886,4185728,4013193,4769106,5393882,5820948,4287200,4670562,5250316,5731049,973463,1639889,1118582,1872541 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,4.05,4.06,3.74,3.72,3.56,3.54,3.56,3.54,6.57,6.56,6.59,6.52,5.70,5.72,5.70,5.72,5.67,5.66,5.67,5.67,5.03,5.03,4.74,4.73 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.12,1.12,1.03,1.03,0.98,0.98,0.98,0.98,1.45,1.45,1.45,1.45,1.27,1.26,1.27,1.27,1.25,1.25,1.25,1.25,1.02,1.00,0.97,0.96 "simdjson - Throughput Test: Kostya (GB/s)",HIB,3.24,3.24,2.98,2.98,2.84,2.84,2.84,2.84,4.75,4.74,4.75,4.75,4.17,4.17,4.15,4.16,4.10,4.11,4.10,4.11,3.06,3.01,2.91,2.83 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,4.83,4.84,4.45,4.45,4.24,4.24,4.24,4.24,7.92,7.92,7.94,7.95,6.95,6.91,6.92,6.93,6.82,6.83,6.86,6.87,6.04,6.10,5.69,5.69 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,4.67,4.66,4.29,4.29,4.04,4.06,4.08,4.08,7.53,7.61,7.63,7.64,6.65,6.60,6.66,6.65,6.57,6.55,6.49,6.57,6.10,6.1,5.69,5.73 "PyBench - Total For Average Test Times (Milliseconds)",LIB,901,887,969,970,1018,1016,1016,1018,742,733,734,740,849,849,844,846,855,864,864,862,983,986,1042,1052 "PJSIP - Method: OPTIONS, Stateless (Responses/sec)",HIB,42830,29445,74389,68314,72333,66415,71208,67128,51616,52572,43767,40095,89733,89834,83661,84745,87898,87728,86749,83007,44605,43807,43449,43053 "GPAW - CPU Power Consumption Monitor (Watts)",LIB,244.69,466.59,213.88,419.83,220.9,431.01,242.73,469.56,225.63,260.94,455.72,533.83,282.73,301.6,543.54,569.12,293.04,355.17,560.54,660.57,255.21,498.27,259.4,507.62 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day/Watt)",HIB,0.017,0.016,0.025,0.021,0.024,0.022,0.029,0.023,0.029,0.03,0.027,0.023,0.038,0.037,0.035,0.035,0.042,0.04,0.035,0.031,0.018,0.018,0.02,0.019 "GROMACS - CPU Power Consumption Monitor (Watts)",LIB,255.66,479.96,206.57,400.98,240.03,458.81,248.64,480.16,209.5,224.73,415.91,507.67,254.44,278.99,482.66,523.22,266.89,321.58,529.27,631.57,247.8,475.18,250.48,485.17 "NAMD - CPU Power Consumption Monitor (Watts)",LIB,252.35,489.57,200.14,379.24,237.08,432.25,232.88,439.59,223.21,263.64,408.41,503.96,259.28,287.68,553.79,501.53,294.87,307.64,388.35,348.32,243.95,457.36,244.69,495.47 "Graph500 - Scale: 26 (sssp max_TEPS/Watt)",HIB,1086399.48,683876.837,1346997.571,1013741.413,1439791.147,996990.342,1375449.317,738870.779,1567226.339,1493194.719,1151296.755,1018943.164,1766261.961,1826343.806,1150073.896,1229335.878,1697664.773,1575376.143,1176261.451,1203882.888,999382.389,646469.175,1017819.419,690481.818 "Graph500 - CPU Power Consumption Monitor (Watts)",LIB,246.83,481.5,220.61,444.91,236.87,475.98,266.77,507.94,175.37,194.99,424.93,463.52,249.98,243.13,549.37,545.6,310.87,331.94,627.32,696.21,263.54,526.5,268.37,536.44 "High Performance Conjugate Gradient - (GFLOP/s/Watt)",HIB,0.09,0.084,0.093,0.087,0.098,0.09,0.093,0.084,0.217,0.201,0.187,0.127,0.19,0.2,0.164,0.109,0.164,0.154,0.145,0.137,0.078,0.077,0.078,0.077 "High Performance Conjugate Gradient - CPU Power Consumption Monitor (Watts)",LIB,218.95,449.19,205.39,430.12,195.94,415.42,212.26,457.8,208.08,225.62,458.51,493.91,225.92,227.04,508.31,532.48,275.49,288.25,593.6,635.85,258.73,517.64,264.38,529.35 "WRF - CPU Power Consumption Monitor (Watts)",LIB,247.41,487.24,213.81,444.57,216.85,467,237.81,519.71,219.52,239.13,474.81,515.37,257.93,258.68,566.41,585.57,295.41,330,625.41,710.94,264.27,528.47,269.25,538.45 "RELION - CPU Power Consumption Monitor (Watts)",LIB,280.84,545,219.85,443.28,263.51,519.5,278.21,546.92,253.55,315.49,516.81,664.8,317.75,350.24,626.7,701.18,318.87,395.54,631.92,768.67,262.72,520.9,267.45,530.35 "Algebraic Multi-Grid Benchmark - (Figure Of Merit/Watt)",HIB,5269915.431,4824699.912,5357001.288,4825129.722,5507035.536,4886141.121,5260039.45,4557540.595,15269036.127,14506482.489,12540912.804,11754110.935,12305245.003,12349121.681,9699094.781,9672874.203,9892055.313,9428761.646,8697792.648,7960362.353,4742505.931,4581780.36,4624732.42,4363115.435 "Algebraic Multi-Grid Benchmark - CPU Power Consumption Monitor (Watts)",LIB,194.13,399.06,189.33,397.41,184.21,394.97,200.96,438.59,153.66,162.04,340.1,369.25,191.25,190.74,439.08,442.43,235.89,248.39,501.08,554.59,225.16,451.16,233.77,473.46 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,162.25,272.57,139.4,242.68,145.66,251.33,145.83,247.14,109.66,116.41,181.66,190.16,114.23,112.17,185.69,183.88,128.83,137.57,219.35,241.51,188.63,306.54,184.8,317.09 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,209.88,391.04,185.98,343.27,193.89,363,204.74,380.71,164.49,175.37,292.95,308.1,176.93,177.37,308.38,311.22,205.6,219.7,337.9,372.18,238.04,426.75,238.73,433.59 "Xcompact3d Incompact3d - CPU Power Consumption Monitor (Watts)",LIB,236.43,478.35,210.47,435.66,214.87,462.38,224.91,498.45,196.86,212.98,436,480.41,226.11,226.41,491.61,489.37,275.68,290.91,578.5,622.11,262.86,523.06,267.71,533.04 "LULESH - (z/s/Watt)",HIB,113.822,83.578,115.411,106.617,113.892,105.344,125.282,115.317,207.183,202.202,183.357,174.903,192.427,192.864,172.717,173.27,173.535,174.469,156.7,154.078,91.162,84.995,90.323,81.311 "LULESH - CPU Power Consumption Monitor (Watts)",LIB,167.92,365.31,170.21,356.38,175.11,363.15,181.43,380.57,119.55,125.2,282.17,306.8,156.77,157.77,343.91,347.28,170.04,174.94,370.24,383.97,205.27,419.88,205.52,430.36 "Pennant - CPU Power Consumption Monitor (Watts)",LIB,185.1,312.94,151.24,258.52,153.97,259.93,165.77,279.27,144.74,163.36,244.57,266.78,156.27,160.33,247.65,258.74,158.29,195.6,270.65,307.67,220.02,378.32,218.87,371.27 "Pennant - CPU Power Consumption Monitor (Watts)",LIB,218.89,367.96,174.18,298.2,192.68,305.1,196.34,326.7,171.09,193.99,303.79,347.23,196.03,203.22,309.24,331.09,190.32,233.06,317.46,366.42,238.3,451.46,240.55,459.33 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s/Watt)",HIB,0.06,0.054,0.12,0.107,0.118,0.115,0.162,0.166,0.103,0.098,0.101,0.097,0.176,0.177,0.188,0.187,0.227,0.212,0.249,0.25,0.053,0.055,0.058,0.058 "ACES DGEMM - CPU Power Consumption Monitor (Watts)",LIB,195.92,400.3,172.94,304.01,198.96,338.07,182.12,306.94,155.76,166.96,295.69,316.75,170.25,169.96,290.27,291.69,172.25,207.46,282.78,321.33,230.44,417.81,231.15,424.38 "NWChem - CPU Power Consumption Monitor (Watts)",LIB,266.89,509.37,228.01,458.19,240.12,461.15,274.01,539.19,243.97,277.54,494.65,576.82,318.13,324.05,633.01,660.24,328.8,404.41,652.46,807.67,264.08,527.53,268.93,537.52 "NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s/Watt)",HIB,420.726,455.635,667.695,656.433,598.045,610.288,720.509,949.973,763.678,733.036,855.255,816.037,1089.237,1103.697,1245.303,1230.867,1199.972,1078.972,1317.213,1233.954,395.012,441.198,481.283,424.332 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,233.59,437.59,191.33,353.9,222.72,413.6,231.17,388.68,175.16,185.06,353.63,381.97,215.93,215.4,372.2,375.49,222.77,253.97,380.34,440.5,240.96,441.95,239.69,455 "NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s/Watt)",HIB,25.977,30.61,45.191,48.19,49.417,55.333,45.505,52.898,53.158,53.677,60.244,57.148,83.949,82.784,94.982,97.41,99.203,96.434,109.79,122.206,27.986,32.473,31.302,31.581 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,124.37,201.23,100.27,171.01,100.83,167.02,109.2,175.53,87.59,90.31,142.72,151.26,85.75,83.84,135.3,133.07,87.03,99.05,149.6,153.62,142.18,234.74,140.28,252.58 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s/Watt)",HIB,14.083,14.75,24.409,25.104,24.388,26.056,22.095,22.076,25.02,23.816,26.406,23.604,36.517,38.509,38.205,38.539,47.749,41.126,49.895,44.007,17.217,18.377,18.908,18.813 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,229.99,432.21,199.56,371.92,217.35,396.58,248.55,449.43,197.61,214.47,363.5,418.2,236.44,230.79,423.95,424.19,237.4,299.08,403.27,493.62,242.86,449.71,245.23,459.67 "NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s/Watt)",HIB,349.582,350.112,412.88,454.093,377.625,427.784,399.843,458.521,829.114,762.103,743.324,734.97,917.385,929.027,1147.408,1081.648,829.259,801.688,917.931,904.194,288.991,288.34,285.465,285.634 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,174.91,301.5,147.96,256.61,161.39,276.38,161.9,278.58,121.88,139.48,225.07,238.11,135.78,137.24,204.01,216.68,146.88,156.33,234.29,246.28,196.82,339.85,198.64,348.48 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s/Watt)",HIB,571.825,700.676,761.134,812.802,740.626,804.158,1308.258,1147.278,1082.273,1026.926,1262.935,1187.384,1388.208,1407.218,1458.84,1465.933,1408.789,1354.525,1498.732,1465.654,420.157,448.438,412.788,427.062 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,212.12,382.25,178.53,317.7,194.58,357.32,195.55,342.03,165.04,177.51,292.89,315.99,183.28,180.07,323.34,322.92,194.68,200.87,327.21,346.48,232.46,421.14,236.82,434.26 "NAS Parallel Benchmarks - Test / Class: SP.B (Mop/s/Watt)",HIB,523.97,621.034,700.994,576.837,604.329,530.781,1044.533,666.998,1029.575,1001.717,1080.362,1035.057,1381.038,1426.945,1122.195,1038.507,1282.709,1169.95,967.775,990.946,244.594,351.3,248.792,365.191 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,159.21,256.63,128.48,233.84,146.79,257.09,129.49,245.56,110.32,115.69,189.59,198,119.34,117.47,198.58,206.61,126.89,143.61,226.76,240.82,196.5,316.71,198.7,328 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s/Watt)",HIB,229.594,268.852,273.224,318.274,258.554,285.674,401.847,635.033,517.997,492.39,613.312,574.885,591.478,599.203,688.937,674.173,553.574,532.111,681.618,621.308,144.023,199.332,151.153,196.491 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,220.5,423.95,190.24,355.38,200.69,401.4,221.95,362.27,174.49,186.1,334.82,357.08,202.84,200.79,351.02,355.43,226.6,238.28,378.28,423.59,245.02,447.43,249.49,460.76 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s/Watt)",HIB,14.748,13.054,16.363,16.168,15.572,15.351,15.461,16.357,31.921,29.38,20.853,20.316,31.4,31.657,29.57,30.096,29.146,28.844,27.68,27.759,9.895,7.062,10.611,6.786 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,179.08,338.08,163.33,294.63,173.06,308.1,183.56,315.78,133.35,144.89,274.65,296.45,155.36,154.65,260.06,265.85,167.73,171.33,278,289.69,221.5,409.49,214.32,412.35 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s/Watt)",HIB,460.377,485.784,499.961,507.572,514.646,499.839,536.487,621.825,1571.097,1527.631,1641.782,1598.825,1536.058,1606.338,1739.356,1703.049,1234.717,1267.699,1176.431,1207.82,348.557,473.943,362.915,440.335 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,122.36,211.7,114.27,197.14,111.14,197.9,112.08,198.2,77.71,80.16,130.12,135.69,81.81,79.95,134.08,136.81,97.47,96.02,167.74,167.6,159.53,246.25,159.29,268.97 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s/Watt)",HIB,178.906,152.002,163.074,191.841,152.95,189.856,311.331,206.776,351.961,337.474,303.405,293.293,325.114,339.825,374.255,351.427,385.478,373.809,324.454,323.616,114.483,113.09,116.99,111.33 "NAS Parallel Benchmarks - CPU Power Consumption Monitor (Watts)",LIB,167.91,280.12,147.05,247.64,159.4,246.58,128.93,246.98,121.57,134,214.49,223.92,140.35,136.66,220.42,231.82,140.74,148.36,243.82,254.18,193.59,334.09,195,352.55 "Rodinia - CPU Power Consumption Monitor (Watts)",LIB,250.41,454.63,200.34,359.71,217.47,387.34,213.78,382.95,212.55,283.55,397.58,534.85,254.39,304.64,442.63,524.99,251.91,306.15,442.59,510.06,239.81,438.41,240.53,440.43 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,230.46,420.96,202.6,382.72,218.18,381.29,220.05,404.4,253.91,295.98,500.01,571.02,320.86,352.43,622.51,663.63,325.94,368.56,629.14,729.04,247.17,492.64,251.92,501.81 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,237.71,500.39,217.05,433.08,219.83,465.21,232.11,486.15,252.09,305.71,494.11,594.72,317.35,329.32,555.91,557.67,319.86,354.09,552.4,627.85,251.51,503.57,255.86,512.38 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,255.48,517.53,215.86,429,223.91,465.77,252.7,526.25,243.08,282.16,438.47,501.18,302.73,308.09,457.9,454.26,308.56,347.78,497.91,517.78,252.2,502.56,256.79,512.09 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,253.32,495.12,210.29,413.56,237.59,460.77,239.69,488.35,249.32,291.51,455.42,526.37,317.08,349.46,562.48,578.98,323.97,365.31,567.58,641.01,247.26,493.49,252.44,502.07 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,255.79,498.18,211.61,417.09,239.68,467.08,241.45,491.56,249.43,290.15,457.72,525.62,317.06,350.77,561.37,585.13,325.1,366.11,567.32,640.22,247.42,491.73,251.98,502.34 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,251.88,516.39,217.16,433.13,240.25,484.48,229.56,485.83,252.34,296.2,506.78,578.55,325.33,358.27,632.86,680.1,331.57,371.62,646.33,755.72,251.82,502.67,256.67,511.78 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,264.24,525.47,216.73,434.26,255.05,513.68,230.18,512.92,240.25,305.92,474.09,576.99,310.73,347.4,614.61,673.34,321.35,352.69,622.84,737.22,251.58,501.26,255.83,513.68 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,233.47,478.64,214.5,423.4,235.52,448.21,230.36,467.19,240.66,293.66,437.52,497.67,309.27,344,567.3,569.74,315.93,355.76,580.05,655.36,250.43,494.37,255.41,507.15 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,255.49,491.23,212.8,422.64,241.31,451.89,245.99,487.24,242.79,290.55,484.38,555.56,313.83,341.76,606.15,632.25,321.25,360.71,626.83,734.94,249.64,497.59,253.39,508.13 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec/Watt)",HIB,113.781,107.908,108.589,102.599,122.942,117.395,162.647,152.744,194.734,196.891,183.566,179.107,191.791,192.092,169.26,175.585,202.011,208.693,188.906,187.802,35.297,35.559,40.15,39.085 "ASKAP - CPU Power Consumption Monitor (Watts)",LIB,197.75,405.39,192.06,399.87,188.33,383.18,209.34,436.36,157.02,170.17,346.74,375.31,195.45,194,420.49,421.98,235.06,246.01,495.12,526.81,243.75,487.9,251.36,501.03 "LeelaChessZero - Backend: Eigen (Nodes/s/Watt)",HIB,4.33,14.376,17.303,12.451,17.366,13.348,22.815,17.202,9.353,8.421,30.016,28.392,38.612,38.56,28.044,28.079,38.966,37.268,24.87,26.073,6.518,14.745,17.276,14.422 "LeelaChessZero - CPU Power Consumption Monitor (Watts)",LIB,269.07,488.45,207.82,336.04,224.46,344.48,231.69,337.64,183.47,216.6,404.18,467.85,232.99,249.14,345.85,362.83,237.59,272.49,362.24,398.38,258.07,450.52,258.05,409.04 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,173.16,328.29,149.21,277.17,151.13,262.05,157.62,283.64,138.98,163.99,284.11,317.86,168.1,177.43,304.73,304.28,165.59,195.31,313.54,339.2,187.7,336.97,193.26,368.95 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,180.13,314.43,147.54,291.06,152.43,280.84,167.6,308.1,143.54,176.62,277.58,306.48,162.41,176,275.53,280.81,158.47,167.65,288.57,305.48,187.92,339.23,191.45,365.98 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,118.44,245.77,106.12,195.97,103.03,181.29,103.4,190.36,111.58,119.49,210.81,229.74,123.7,122.7,234.21,235.88,122.88,131.24,243.6,256.62,157.83,305.53,159.03,333.5 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,245.83,417.17,185.95,323.59,213.92,352.57,215.85,350,209.34,234.74,381.91,423.8,221.99,230.51,369.11,387.92,220.93,256.16,380.13,419.38,241.17,426.1,238.98,420.82 "Timed LLVM Compilation - CPU Power Consumption Monitor (Watts)",LIB,218.97,364.78,167.11,285.86,177.59,278.68,182.02,283.86,180.61,197.41,323.86,344.79,176.32,178.95,292.88,295.39,186.68,198.89,321.74,330.89,225.58,382.45,223.86,382.32 "Timed Gem5 Compilation - CPU Power Consumption Monitor (Watts)",LIB,196.59,304.43,140.02,242.96,149.88,245.03,149.99,240.69,161.23,175.19,279.97,297.65,146.97,150.17,259.79,263.73,151.58,164.82,284.85,294.05,197.36,317.74,191.54,315.66 "Timed Godot Game Engine Compilation - CPU Power Consumption Monitor (Watts)",LIB,200.86,328.12,157.55,265.06,170.03,261.48,171.46,270.73,164.89,182.19,293.15,310.56,161.7,164.78,264.78,267.38,171.05,181.35,287.63,296.56,206.41,352.3,204.57,356.72 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,188.06,313.58,144.15,251.35,158.79,259.77,157.73,255.49,158.64,177.96,288.81,314.46,152.82,167.28,270.17,279.54,163.79,181.21,290.92,310.09,201.8,336.46,197.2,339.92 "Timed Linux Kernel Compilation - CPU Power Consumption Monitor (Watts)",LIB,263.68,478.57,205.71,381.5,247.41,441.25,250.12,442.94,230.96,269.15,450.02,524.06,269.08,288.6,486.87,523,272.16,322.29,490.83,562.19,251.63,475.75,253.46,478.32 "Timed Mesa Compilation - CPU Power Consumption Monitor (Watts)",LIB,169.47,264.09,125.57,213.53,128.69,206.95,124.62,202.82,139.66,152.05,240.51,254.31,124.79,127.58,219.12,213.06,119.96,137.93,242.2,249.1,185.96,291.37,178.5,293.77 "Timed MPlayer Compilation - CPU Power Consumption Monitor (Watts)",LIB,175.13,285.16,132.6,223.55,141.1,219.96,139.3,225.27,149.81,167.09,256.19,271.23,141.63,146.87,231.07,237.88,142.25,154.89,247.18,263.96,195.33,323.78,192.31,330.52 "Timed Node.js Compilation - CPU Power Consumption Monitor (Watts)",LIB,234.75,392.97,176.8,311.43,199.8,328.92,201.21,330.81,197.75,218.24,355.29,392.45,203.36,208.9,345.22,355.09,205.89,232.07,357.37,386.44,232.64,403.16,230,400.19 "Timed CPython Compilation - CPU Power Consumption Monitor (Watts)",LIB,97.43,179.99,82.33,155.13,78.42,151.18,75.16,144.14,84.85,88.59,180.65,185.39,81.22,79.6,173.19,172.97,94.08,94.6,203.73,205.38,134.51,219.94,131.23,230.85 "Timed CPython Compilation - CPU Power Consumption Monitor (Watts)",LIB,95.42,178.42,83.15,161.2,78.55,152.14,73.75,143.55,85.44,86.34,191.15,193.31,79.95,80.87,182.5,181.61,95.61,95.94,215.12,215.9,119.05,208.4,118.74,221.49 "Timed Wasmer Compilation - CPU Power Consumption Monitor (Watts)",LIB,143.61,246.1,113.51,206.64,107.47,192.47,107.22,188.13,115.28,122.03,221.05,226.35,105.32,105.1,203.65,203.38,119.91,120.66,235.6,235.97,172.49,262.87,167.21,279.54 "Build2 - CPU Power Consumption Monitor (Watts)",LIB,180.99,285.56,134.69,232.51,138.39,226.21,138.72,226.18,151.03,165.38,267.14,279.23,137.39,138.81,241.21,243.3,144.89,153.41,267.53,274.49,196.35,313.27,189.88,319.13 "DaCapo Benchmark - CPU Power Consumption Monitor (Watts)",LIB,77.45,160.26,67.56,148.58,64.38,139.08,61.06,131.96,59.71,59.74,127.76,131.01,56.99,55.8,124.11,123.33,68.09,68.44,147.9,149.65,104.29,184.27,104.56,204.72 "7-Zip Compression - Test: Decompression Rating (MIPS/Watt)",HIB,1102.052,1058.126,1795.181,1639.459,1723.257,1641.748,1748.219,1676.785,1528.718,1465.841,1425.215,1333.584,2116.211,2101.801,1982.186,1947.26,2438.8,2342.272,2279.194,2260.074,692.961,707.746,764.024,748.827 "7-Zip Compression - CPU Power Consumption Monitor (Watts)",LIB,224.35,445.48,195.62,386.62,223.53,438.14,235.75,446.16,193.32,208.01,396.66,430.2,247.39,249.54,475.88,486.62,267.74,316.59,511.74,589.39,239.88,468.74,245.6,484.04 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s/Watt)",HIB,32.737,18.366,35.762,18.434,35.512,18.872,38.801,20.854,48.045,46.67,22.599,22.184,46.379,45.388,21.424,21.172,38.463,38.947,17.822,17.687,21.722,12.781,20.656,11.488 "Zstd Compression - CPU Power Consumption Monitor (Watts)",LIB,114.69,202.97,98.93,189.44,93.73,176.8,87.07,160.32,89.35,91.75,190.68,192.88,84.65,84.54,180.68,181.54,98.75,98.92,213.09,213.69,137.3,221.34,136.32,237.75 "Blender - CPU Power Consumption Monitor (Watts)",LIB,249.84,467.04,202.18,366.6,228.22,428.23,227.63,438.62,221.03,270.81,416.99,505.58,260.34,292.6,450.32,495.05,257.58,303.99,434.72,507.84,247.52,465.9,249.58,471.12 "Blender - CPU Power Consumption Monitor (Watts)",LIB,264.43,514.05,219.17,420.72,251.56,498.75,248.86,505.3,233.05,292.47,455.51,587.86,291.14,336.97,542.58,642.52,294.94,359.1,545.23,647.13,257.67,501.83,261.76,509.72 "Blender - CPU Power Consumption Monitor (Watts)",LIB,256.79,469.83,204.63,378.81,230.4,441.66,227.62,438.18,227.72,283.78,430.38,540.5,270.57,312.96,475.03,550.33,271.1,314.29,472.49,518.36,248.86,474.06,253.04,477.43 "Blender - CPU Power Consumption Monitor (Watts)",LIB,273.26,519.83,220.22,423.53,249.71,508.98,247.25,512.13,242.05,302.79,482.24,611.43,301.95,350.8,570.69,668.43,306.41,364.55,570.67,660.59,258.51,506.36,262.59,512.93 "Blender - CPU Power Consumption Monitor (Watts)",LIB,279.97,533.36,224.82,437.68,264.77,529.68,257.53,535.52,246.45,297.32,501.38,605.42,311.56,353.63,597.83,690.2,317.46,383.77,610.24,719.83,261.48,516.5,265.76,523.77 "C-Ray - CPU Power Consumption Monitor (Watts)",LIB,228.5,395.01,178.97,306.54,201.94,337.09,202.53,342.11,180.93,193.11,315.76,351.4,198.78,199.42,318.97,331.12,197.51,244.38,308.29,355.72,236.25,426.65,236.91,435 "POV-Ray - CPU Power Consumption Monitor (Watts)",LIB,186.66,327.15,147.59,247.57,159.61,253.07,159.09,254.49,162.31,193.79,277.68,317.16,164.82,178.58,257.21,269.51,161.18,178.98,267.51,286.67,209.25,366.02,208.69,375.99 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS/Watt)",HIB,0.209,0.169,0.373,0.206,0.352,0.212,0.408,0.27,0.302,0.289,0.278,0.273,0.505,0.501,0.511,0.521,0.629,0.623,0.648,0.593,0.161,0.172,0.185,0.191 "Embree - CPU Power Consumption Monitor (Watts)",LIB,219.37,402.18,169.36,332.65,201.91,347.1,197.6,370.31,184.57,196,320.03,339.67,195.07,199.95,313.58,314.17,191.99,221.37,298.24,353.92,223.03,407.12,227.12,415.83 "Embree - Binary: Pathtracer - Model: Crown (FPS/Watt)",HIB,0.18,0.183,0.294,0.282,0.301,0.31,0.333,0.368,0.272,0.235,0.245,0.235,0.402,0.393,0.409,0.407,0.49,0.478,0.511,0.516,0.134,0.137,0.152,0.143 "Embree - CPU Power Consumption Monitor (Watts)",LIB,226.79,400.3,176.67,316.85,209.64,360.72,206.49,347.73,182.8,221.1,354.57,379.39,212.93,227.05,346.42,363.07,211.53,241.52,344.3,392.47,230.93,420.27,231.51,431.58 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Watt)",HIB,0.185,0.158,0.329,0.199,0.321,0.187,0.359,0.248,0.354,0.331,0.328,0.319,0.589,0.583,0.575,0.573,0.746,0.718,0.719,0.706,0.229,0.228,0.257,0.269 "Embree - CPU Power Consumption Monitor (Watts)",LIB,223.76,408.11,173.03,338.6,205.84,365.03,201.37,379.44,177.17,197.82,313.98,337.49,189.68,199.15,306.63,312.24,182.41,215.36,296.8,329.31,216.6,391.24,217.28,390.5 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS/Watt)",HIB,0.183,0.164,0.266,0.254,0.272,0.273,0.304,0.325,0.283,0.257,0.265,0.258,0.438,0.433,0.443,0.453,0.538,0.518,0.541,0.558,0.172,0.168,0.19,0.177 "Embree - CPU Power Consumption Monitor (Watts)",LIB,204,410.23,180.27,325.57,214.22,371.81,208.51,357.51,190.06,220.83,349.47,370.75,209.43,223.64,336.54,346.69,204.49,238.47,337.04,380.46,225.19,407.21,226.55,417.79 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 (Images / Sec/Watt)",HIB,0.006,0.006,0.01,0.008,0.01,0.009,0.01,0.007,0.011,0.01,0.01,0.01,0.017,0.017,0.015,0.015,0.019,0.018,0.013,0.012,0.009,0.009,0.01,0.009 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,172.32,319.19,142.83,265.39,160.31,282,165.16,288.05,136.96,160.81,262.46,282.43,157.17,161.98,262.61,267.42,156.91,181.53,284.94,299.55,176.66,318.05,174.32,332.8 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 (Images / Sec/Watt)",HIB,0.006,0.006,0.01,0.009,0.01,0.009,0.01,0.007,0.011,0.01,0.01,0.01,0.017,0.017,0.015,0.015,0.019,0.018,0.013,0.012,0.009,0.009,0.01,0.009 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,178.73,322.02,143.77,261.76,158.76,285.57,164.79,285.01,138.02,158.22,265.7,281.54,159.22,161.87,259.59,267.3,158.18,183.71,283.08,295.78,177.12,315.31,177.78,339.23 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 (Images / Sec/Watt)",HIB,0.003,0.003,0.005,0.004,0.005,0.004,0.005,0.003,0.005,0.005,0.004,0.004,0.007,0.007,0.006,0.006,0.008,0.008,0.005,0.005,0.004,0.004,0.004,0.004 "Intel Open Image Denoise - CPU Power Consumption Monitor (Watts)",LIB,186.74,349.12,153.21,294.59,171.24,313.88,176.2,309.86,152.44,170.88,301.34,323.04,181.61,185.67,309.07,309.56,185.42,209.76,332.07,346.81,186.93,355.13,189.95,373 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec/Watt)",HIB,0.022,0.02,0.037,0.032,0.035,0.032,0.035,0.031,0.058,0.053,0.048,0.045,0.078,0.076,0.068,0.067,0.093,0.081,0.077,0.071,0.038,0.037,0.043,0.041 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,262.52,514.75,214.08,425.96,260.57,520.5,260.9,525.27,212.74,240.61,460.63,501.66,275.05,289.8,545.74,568.56,285.52,377.47,568.99,729.01,249.73,505.67,253.97,513.17 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Watt)",HIB,0.034,0.032,0.057,0.049,0.055,0.049,0.055,0.048,0.067,0.062,0.058,0.054,0.092,0.088,0.082,0.08,0.107,0.096,0.093,0.086,0.048,0.046,0.053,0.05 "OSPRay - CPU Power Consumption Monitor (Watts)",LIB,262.56,511.65,214.08,433.67,249.93,528.35,250.8,534.28,215.82,249.33,470.8,528.77,279.75,300.6,561.84,602.57,290.73,376.75,581.85,743.7,249.62,503.78,253.53,511.75 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,254.57,496.4,208.26,408.84,240.48,497.05,237.51,498.45,222.09,261.12,459.79,536.27,276.61,308.56,555.02,621.34,287.74,359.82,595.42,723.85,240.81,473.89,243.49,480.62 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,232.41,516.82,209.32,404.33,239.96,522.21,236.08,516.72,222.04,260.39,451.72,534.8,271.56,322.92,581.28,655.95,283.11,377.13,603.65,741.05,244.51,470.26,245.16,471.86 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,253.29,463.17,200.86,419.77,227.45,501.94,224.35,501.81,213.65,249.63,468.47,546.01,284.49,316.04,554.35,621.39,289.19,379.3,592.83,701.35,236.65,487.1,235.73,490.63 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,255.99,496.06,208.64,407.83,242.36,495.23,238.65,499.23,221.08,258.21,461.72,528.54,277.15,305.54,551.99,616.22,288.42,358.5,565.25,735.93,241.52,474.01,243.44,480.48 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,233.73,486.93,209.64,405.29,240.84,521.61,237.06,523.4,221.37,257.73,452.87,552.1,271.79,297.74,580.52,650.5,283.43,370.8,603.05,742.12,244.46,471.05,245.62,471.33 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,254.02,464.69,201.57,419.78,228.99,503.5,224.4,505.26,213.06,247.33,470.68,542.26,283.56,311.82,554.04,614.55,289.45,379.13,602.58,705.52,236.52,487.63,235.92,491.25 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,256.21,497.23,209.29,410.79,241.92,497.92,238.2,500.2,222.37,261.21,463.06,535.8,279.43,308.78,556.37,624.08,288.47,361.36,576.92,711.27,241.44,474.85,243.66,481.49 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,238.54,496.61,212.43,411.29,243.56,487.23,240.56,486.72,225.26,263.28,459.54,531.84,277.5,305.36,581.4,608.28,281.81,355.59,605.85,747.78,222.55,493.09,248.85,480.17 "OSPRay Studio - CPU Power Consumption Monitor (Watts)",LIB,257.61,472.78,205.16,424.6,233.12,512.14,229.78,512.55,217.02,253.34,475.7,552.4,289.31,319.57,565.57,632.49,294.52,362.89,576.98,749.96,240.69,441.23,240.02,497.61 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec/Watt)",HIB,0.023,0.019,0.039,0.03,0.037,0.028,0.037,0.026,0.035,0.03,0.026,0.025,0.045,0.043,0.034,0.037,0.049,0.045,0.032,0.035,0.02,0.016,0.022,0.017 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,262.95,506.73,214.84,429.93,255.67,492.47,253.55,528.3,221.49,269.05,449.67,498.85,285.22,315.2,520.01,584.91,290.15,376.47,543.9,666.94,250.95,503.53,256.07,513.72 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec/Watt)",HIB,0.035,0.031,0.059,0.044,0.055,0.043,0.053,0.041,0.052,0.046,0.04,0.037,0.067,0.062,0.051,0.05,0.074,0.065,0.053,0.049,0.032,0.026,0.035,0.028 "LuxCoreRender - CPU Power Consumption Monitor (Watts)",LIB,259.79,505.93,212.28,418.63,253.87,508.84,251.95,520.33,220.86,260.91,443.28,481.13,274.77,301,509.51,537.42,288.54,363.95,552.29,630.75,247.05,492.58,251.21,502.67 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Watt)",HIB,0.187,0.143,0.232,0.18,0.251,0.197,0.249,0.186,0.321,0.31,0.231,0.225,0.389,0.393,0.29,0.294,0.41,0.409,0.259,0.257,0.128,0.107,0.126,0.104 "Kvazaar - CPU Power Consumption Monitor (Watts)",LIB,200.12,350.2,159.71,309.49,156,289,167.4,296.85,165.42,174.53,283.39,295.35,160.05,158.23,252.77,253.89,186.9,188.33,276.51,278.55,228.9,374.95,218.08,381.82 "GraphicsMagick - Operation: Enhanced (Iterations/min/Watt)",HIB,2.811,2.369,4.496,3.276,4.322,3.321,4.274,3.297,3.763,3.441,3.076,2.927,4.956,4.877,4.044,3.946,5.528,4.991,4.113,3.878,2.213,1.993,2.406,2.069 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,250.09,461.38,207.73,393.43,239.7,435.35,243.1,441.57,198,224.08,397.94,428.39,245.36,254.05,434.23,440.21,258.49,333.6,467.57,536.33,253.01,500.83,256.41,514.14 "GraphicsMagick - Operation: Sharpen (Iterations/min/Watt)",HIB,1.503,1.347,2.457,1.912,2.352,1.924,2.364,1.93,2.132,1.956,1.75,1.669,2.787,2.781,2.42,2.351,3.233,2.884,2.513,2.353,1.26,1.153,1.357,1.22 "GraphicsMagick - CPU Power Consumption Monitor (Watts)",LIB,257.5,477.28,207.95,397.55,247.46,446.06,251.71,453.39,193.75,220.31,406.81,437.98,250.12,253.15,455.45,473.83,260.73,346.36,470.71,591.95,251.61,502.31,256.53,514.56 "ASTC Encoder - Preset: Medium (MT/s/Watt)",HIB,1.418,1.561,2.426,2.189,2.685,2.64,2.777,2.689,2.203,2.09,2.328,2.273,3.988,4.116,3.415,3.712,4.437,4.759,3.136,3.158,1.037,1.227,1.191,1.322 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,124.95,206.19,96.06,173.37,97.61,170.48,95.24,168.14,97.85,110.44,179.9,184.03,90.41,94.41,160.72,165.3,95.12,100.9,182.25,190.43,143.36,235.82,140.22,242.03 "ASTC Encoder - Preset: Thorough (MT/s/Watt)",HIB,0.119,0.142,0.211,0.246,0.222,0.276,0.226,0.267,0.176,0.156,0.212,0.187,0.307,0.296,0.37,0.374,0.365,0.384,0.447,0.454,0.104,0.126,0.119,0.138 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,187.24,305.68,142.84,234.73,152.63,240.15,151.17,245.35,156.04,188.27,267.51,309.49,154.83,172.37,244.65,263.41,154.01,170.39,238.35,269.14,191.95,320.48,188.93,324.78 "ASTC Encoder - Preset: Exhaustive (MT/s/Watt)",HIB,0.011,0.012,0.019,0.021,0.019,0.024,0.02,0.023,0.016,0.014,0.018,0.016,0.026,0.025,0.03,0.03,0.031,0.032,0.038,0.039,0.009,0.011,0.01,0.012 "ASTC Encoder - CPU Power Consumption Monitor (Watts)",LIB,218.37,372.16,170.09,290.5,185.86,300.98,182.57,304.69,181.87,224.66,323.47,389.11,196.41,216.91,316.36,356.2,190.99,219.83,310.36,348.31,217.97,378.14,217.22,383.87 "Etcpak - Benchmark: Multi-Threaded - Configuration: ETC2 (Mpx/s/Watt)",HIB,72.166,38.869,69.893,37.477,72.668,40.008,81.192,44.232,123.747,123.813,63.983,64.016,122.444,126.366,67.133,66.835,110.633,111.96,60.767,61.205,45.226,28.289,40.909,23.81 "Etcpak - CPU Power Consumption Monitor (Watts)",LIB,109.74,198.78,95.79,176.86,92.06,166.93,86.09,156.59,81.02,82.87,146.57,148.95,73.23,71.04,132.61,132.05,83.68,83.38,153.14,150.85,136.44,220.53,135.23,242.75 "ebizzy - (Records/s/Watt)",HIB,8986.899,6341.702,12223.91,8056.039,11357.364,7429.472,12415.079,7385.232,14563.769,11785.558,9359.863,7393.05,17226.239,15325.407,11212.27,9220.476,17391.213,15548.272,10754.938,9400.072,4207.04,3513.761,4709.466,3934.54 "ebizzy - CPU Power Consumption Monitor (Watts)",LIB,224.4,452.29,195.84,391.19,206.51,412.01,208.24,423.84,182.6,274.75,388.46,566.17,232.97,311.19,481.07,631.31,246.52,300.39,488.18,609.68,231.39,466.7,237.52,476.25 "Node.js Express HTTP Load Test - (Reqs/sec/Watt)",HIB,68.219,28.392,71.08,29.978,73.063,31.925,77.824,33.748,120.976,119.963,51.735,49.337,118.706,117.728,49.718,49.272,97.182,96.976,41.497,41.332,65.023,35.364,61.042,29.781 "Node.js Express HTTP Load Test - CPU Power Consumption Monitor (Watts)",LIB,87.53,185.97,76.51,167.42,71.66,153.86,66.5,145.16,70.71,71.22,157.44,162.66,66.1,66.97,149.91,152.22,80.56,80.23,180.93,180.83,108.96,191.67,109.29,209.7 "simdjson - Throughput Test: PartialTweets (GB/s/Watt)",HIB,0.049,0.025,0.05,0.025,0.05,0.025,0.054,0.027,0.086,0.084,0.037,0.036,0.079,0.079,0.033,0.033,0.064,0.064,0.028,0.028,0.049,0.026,0.046,0.023 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,83.39,160.85,74.83,149.4,70.78,139.57,65.87,132.51,76.1,77.73,179.75,181.05,72.09,72.06,174.22,173.99,88.22,88.42,205.12,205.68,101.98,192.09,103.16,206.98 "simdjson - Throughput Test: LargeRandom (GB/s/Watt)",HIB,0.012,0.007,0.012,0.007,0.012,0.007,0.014,0.007,0.019,0.019,0.008,0.008,0.018,0.017,0.007,0.007,0.014,0.014,0.006,0.006,0.01,0.005,0.009,0.005 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,94.65,170.95,84.07,157.54,78.7,147.03,71.68,137.33,77.11,76.27,178.27,179.99,72.25,74.6,171.39,173,87.89,87.9,203.36,203.62,102.64,192.92,103.93,209.26 "simdjson - Throughput Test: Kostya (GB/s/Watt)",HIB,0.032,0.018,0.032,0.018,0.033,0.018,0.036,0.019,0.059,0.058,0.026,0.027,0.056,0.056,0.024,0.024,0.046,0.046,0.02,0.02,0.029,0.015,0.027,0.013 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,101.69,178.58,92.14,166.36,86.68,154.56,79.6,145.94,80.84,81.11,185.06,177.38,74.45,73.84,175.11,174.86,89.92,89.8,206.37,206.56,105.01,196.64,106.26,212.16 "simdjson - Throughput Test: DistinctUserID (GB/s/Watt)",HIB,0.058,0.03,0.06,0.03,0.06,0.03,0.064,0.032,0.104,0.103,0.044,0.044,0.096,0.094,0.04,0.04,0.077,0.077,0.033,0.033,0.059,0.031,0.055,0.027 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,83.77,160.49,74.76,148.86,70.7,139.1,65.85,132.74,76.45,76.56,180.17,180.68,72.28,73.14,172.08,174.36,88.54,88.2,205.38,205.81,102.22,194.73,103.52,208.56 "simdjson - Throughput Test: TopTweet (GB/s/Watt)",HIB,0.056,0.029,0.057,0.029,0.057,0.029,0.062,0.031,0.099,0.1,0.042,0.042,0.092,0.091,0.039,0.038,0.074,0.074,0.032,0.032,0.06,0.031,0.055,0.028 "simdjson - CPU Power Consumption Monitor (Watts)",LIB,83.19,160.2,74.72,149,70.67,138.59,65.71,132.45,76.27,76.44,179.96,181.47,72.34,72.85,172.71,174.16,88.4,88.44,204.52,205.68,102.43,193.88,104.12,208.1 "BRL-CAD - VGR Performance Metric (VGR Performance Metric/Watt)",HIB,1736.169,1671.076,3173.009,17083.853,3087.784,16490.701,3015.474,17705.108,2643.384,2318.418,2445.623,2189.693,3817.626,3560.4,20772.479,21476.07,31430.885,31926.878,25456.412,25620.077,1469.655,1240.462,,10114.47 "BRL-CAD - CPU Power Consumption Monitor (Watts)",LIB,266.29,523.25,223.43,189.89,241.12,179.65,257.86,169.04,252.74,299.14,490.91,575.36,313.38,350.51,192.88,192.62,99.39,99.59,227.59,227.2,261.56,518.12,,222.52 "PyBench - CPU Power Consumption Monitor (Watts)",LIB,77.99,150.86,70.41,139.63,66.89,132.72,62.51,125.86,70.02,69.3,161.19,164.8,66.02,65.72,156.73,158.91,80.63,80.7,186.45,186.76,96.04,186.71,97.58,199.48 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,79.96,157.95,71.39,145.64,65.23,130.7,61.37,126.08,72.82,72.64,170.36,170.37,70.19,69.97,165.38,164.74,84.9,84.81,196.51,196.59,96.54,188.1,97.73,201.97 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,82.38,158.68,74.08,146.23,69.94,137.34,65.62,130.54,73.04,73.12,170.08,172.27,70.55,70.04,165.35,165.19,84.71,85.24,196.32,197.01,99.48,192.01,100.81,202.28 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,76.68,151.36,71.48,140.41,65.28,131.03,61.18,124.91,72.05,71.96,168.49,170.22,69.76,69.59,164.3,164.13,84.68,84.49,195.15,196.03,96.45,186.87,98.1,198.09 "PyPerformance - CPU Power Consumption Monitor (Watts)",LIB,79.28,156.87,71.48,143.89,67.42,134.87,63.36,128.46,74.36,72.47,168.85,169.32,68.57,67.85,160.86,160.42,82.22,82.93,191.11,192.01,99.3,190.88,101.21,205.02 "Numpy Benchmark - (Score/Watt)",HIB,6.279,3.222,6.42,3.169,6.521,3.229,7.382,3.634,8.63,8.677,3.658,3.646,7.931,7.923,3.321,3.343,6.473,6.462,2.792,2.772,4.024,2.098,3.826,1.869 "Numpy Benchmark - CPU Power Consumption Monitor (Watts)",LIB,84.27,162.97,75.77,151.34,71.6,141.13,66.7,134.47,78.44,78.14,184.32,185.34,74.76,74.86,178.27,176.81,90.38,90.29,210.21,210.74,103.37,196.43,104.18,208.56 "PHPBench - PHP Benchmark Suite (Score/Watt)",HIB,10166.461,5261.114,10412.206,5132.401,10616.906,5187.57,11211.834,5486.971,14090.843,14169.844,6002.564,6024.501,12571.737,12652.557,5482.166,5292.639,10335.564,10168.511,4470.821,4463.56,8917.251,4665.072,8247.043,4053.331 "PHPBench - CPU Power Consumption Monitor (Watts)",LIB,78.08,152.5,70.16,142.34,66.15,133.33,62.17,126.88,70.26,70.32,165.94,165.19,68.06,68.14,159.83,160.55,81.63,82.94,189.48,189.71,96.39,185.74,99.03,201.55 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s/Watt)",HIB,2.081,1.072,2.127,1.049,2.111,1.068,2.291,1.12,2.967,2.946,1.279,1.254,2.589,2.708,1.121,1.118,2.162,2.165,0.927,0.937,1.322,0.679,1.209,0.58 "srsRAN - CPU Power Consumption Monitor (Watts)",LIB,75.82,147.86,68.63,138.32,65.03,129.19,60.51,123.63,65.38,65.48,151.83,153.17,64.93,62.41,149.9,150.88,77.07,76.94,178.27,177.4,95.63,184.33,97.69,200.1 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s/Watt)",HIB,2.145,1.098,2.191,1.083,2.161,1.09,2.35,1.152,3.041,2.97,1.271,1.271,2.704,2.669,1.133,1.139,2.189,2.171,0.945,0.942,1.523,0.791,1.448,0.703 "srsRAN - CPU Power Consumption Monitor (Watts)",LIB,77.32,149.67,69.64,140.17,66.07,131.89,61.36,125.24,66.19,67.68,157.93,158.03,64.76,65.8,153.59,154.02,78.95,79.29,183.33,183.68,96.24,186.01,98.29,200.42 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s/Watt)",HIB,1.823,0.945,1.867,0.932,1.886,0.956,2.03,0.995,2.564,2.569,1.09,1.087,2.284,2.372,0.977,0.97,1.903,1.895,0.816,0.812,1.363,0.696,1.1,0.597 "srsRAN - CPU Power Consumption Monitor (Watts)",LIB,80.63,156.11,72.52,144.44,67.92,134.48,63.93,129.03,72.08,71.69,168.15,168.62,70.22,67.83,163.83,164.56,83.31,83.6,194.4,194.71,98.1,190.22,100.14,202.32 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s/Watt)",HIB,1.923,0.986,1.966,0.979,1.979,0.998,2.136,1.053,2.702,2.663,1.129,1.126,2.369,2.457,1.019,1.017,1.962,2.134,0.843,0.842,1.388,0.724,1.341,0.618 "srsRAN - CPU Power Consumption Monitor (Watts)",LIB,81.17,157.02,72.89,145.31,68.62,136.3,63.86,130.07,71.8,72.37,171.23,171.74,71.46,68.83,165.32,166.11,84.71,77.97,196.94,197.95,98.94,191.78,100.82,203.54 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s/Watt)",HIB,0.889,0.455,0.906,0.446,0.906,0.451,0.978,0.478,1.66,1.659,0.713,0.714,1.499,1.478,0.613,0.631,1.182,1.225,0.531,0.523,0.817,0.42,0.747,0.357 "srsRAN - CPU Power Consumption Monitor (Watts)",LIB,76.57,149.79,69.35,140.11,65.76,131.91,61.15,125.28,66.2,66.32,153.9,153.98,63.98,64.89,152.26,151.54,78.01,77.16,178.83,180.33,95.49,184.25,97.25,199.83 "srsRAN - Test: OFDM_Test (Samples / Second/Watt)",HIB,1764993.398,929541.544,1794758.132,926976.095,1833553.371,921714.296,1967922.413,993107.266,2565142.386,2597590.466,1118573.846,1108443.601,2288251.038,2397264.947,1006148.085,989602.367,1894513.023,1886910.707,812282.24,832424.52,1427669.196,748225.142,1330622.546,668180.549 "srsRAN - CPU Power Consumption Monitor (Watts)",LIB,83.89,158.9,74.97,147.25,70.96,138.31,65.43,131.25,74.63,73.74,169.56,171.83,71.92,69.58,165.65,165.89,85.51,85.45,195.29,196.73,100.28,191.48,101.63,203.79 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,8005262.08,5589199.521,8967002.775,6260744.874,9283308.776,6686638.498,8819629.129,6376830.644,12687495.531,10601569.699,7714981.67,7485277.098,12274571.608,12275909.242,8168735.784,8183090.912,11144939.006,11091025.938,7251773.019,7271115.823,6800601.68,4285492.579,6583025.467,4038613.771 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,232.15,348.75,177.5,254.75,171.28,238.99,190.41,262.03,196.25,249.91,338.69,354.03,188.95,188.03,283.69,282.52,203.57,205.96,314.69,313.78,230.62,413.09,235.83,420.03 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,8504773.525,7876217.572,13030689.988,8566420.295,12341073.055,9308668.768,12678254.216,8500179.151,12532561.602,10282218.567,12048948.196,10050423.575,17015933.039,15567645.399,11424962.323,11382288.435,16032141.362,14370003.505,10395089.538,10452974.209,5624845.634,6405230.978,6840650.663,6169952.532 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,237.99,468.02,197.84,371.77,227.73,342.37,224.39,393.1,204.11,270.54,408.1,523.58,255.63,296.32,403.87,406.37,252.9,316.46,439.13,435.46,232.81,466.2,235.6,474.89 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,8616980.02,8487800.085,13812517.409,12946685.492,13977299.841,12221345.919,13840999.157,12211064.822,12652986.316,10423267.649,11967318.272,9742561.764,16694782.712,14883619.329,16549656.264,15360984.594,19341095.514,18092615.322,15847755.774,14100272.885,5734280.061,5676506.714,6285536.671,6433426.008 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,237.43,474.89,196.96,394.38,217.02,457.71,214.13,458.38,204.03,269.22,422,570.41,265.7,326.14,516.38,600.66,267.55,342.12,507.86,645.88,232.26,464.52,237.27,478.68 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s/Watt)",HIB,9018545.803,8668105.081,14037706.646,13659807.236,14192271.392,13862058.967,14094001.652,13456898.866,13186409.456,10849065.742,12122457.381,9858969.654,16727149.568,15186590.26,16357169.007,14774448.747,19130113.017,17902710.479,19291460.05,17848245.051,6015221.534,5871083.387,6588124.728,6232902.364 "Liquid-DSP - CPU Power Consumption Monitor (Watts)",LIB,240.16,473.51,198.14,394.14,217.95,436.24,215.73,434.94,206.77,272.61,420.99,574.16,269.78,325.82,532.71,656.29,271.48,342.98,535.69,683.78,233.65,463.67,237.07,476.56 "PJSIP - Method: OPTIONS, Stateless (Responses/sec/Watt)",HIB,434.507,139.16,835.63,412.31,868.867,424.635,889.036,442.287,573.44,572.564,227.783,207.957,1062.672,1057.897,467.757,474.523,885.842,887.11,417.787,397.171,273.445,178.435,266.266,165.478 "PJSIP - CPU Power Consumption Monitor (Watts)",LIB,98.57,211.59,89.02,165.69,83.25,156.4,80.1,151.77,90.01,91.82,192.14,192.8,84.44,84.92,178.86,178.59,99.23,98.89,207.64,209,163.12,245.51,163.18,260.17 "QuantLib - (MFLOPS/Watt)",HIB,38.659,20.051,39.504,19.685,39.864,19.857,42.684,20.978,49.001,48.6,20.978,20.929,45.123,44.17,19.309,19.03,36.504,36.622,15.863,15.633,26.889,14.171,25.277,12.393 "QuantLib - CPU Power Consumption Monitor (Watts)",LIB,78.82,154.39,71.58,143.79,67.35,135.45,63.12,127.18,72.47,72.42,166.75,167.52,68.15,69.95,160.88,160.8,82.95,83.09,192.26,193.87,99.1,188.15,99.76,202.91 "OpenSSL - Algorithm: RSA4096 (verify/s/Watt)",HIB,2200.078,2209.699,3818.508,3743.442,3732.848,3684.044,3480.193,3406.119,3013.439,2858.077,2945.507,2639.748,4166.228,4192.402,4008.643,3945.986,5041.495,4436.136,5076.298,4393.557,2057.075,2120.845,2294.962,2287.358 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,248.6,494.75,215.76,436.4,232.44,469.26,259.18,522.85,210.08,229.06,429.53,493.51,273.97,272.3,569.45,578.51,290.32,380.89,578.4,766.95,252.52,503.58,256.42,516.04 "OpenSSL - Algorithm: SHA256 (byte/s/Watt)",HIB,170831087.707,176556662.453,289517518.411,285018945.314,295613823.05,294464855.666,278365751.004,271280767.133,243555692.318,222359443.054,240038312.298,206062691.948,338684812.015,323674263.25,327935256.476,305453461.578,394313977.849,366567582.337,393970052.618,364018269.515,96726680.358,98800981.682,107679709.779,108841118.534 "OpenSSL - CPU Power Consumption Monitor (Watts)",LIB,266.34,515.27,225.22,451.26,251.54,505.31,265.89,539.87,237.17,267.72,481.57,573.93,306.16,320.53,626.37,672.24,319.49,390.55,638.4,781.55,260.02,520.41,265.03,526.15 "Xmrig - Variant: Monero - Hash Count: 1M (H/s/Watt)",HIB,95.552,78.852,140.115,135.541,126.226,126.337,145.42,91.516,130.91,121.572,113.115,105.551,169.643,167.37,165.779,166.035,209.001,194.36,216.487,201.871,50.72,48.289,56.066,53.689 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,258.14,478.35,203.92,378.29,249.23,451.42,250.52,474.7,239.2,266.06,439.64,473.83,285.98,291.49,491.43,494.08,281.03,324.37,479.95,550.3,253.49,487.48,257.92,491.87 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s/Watt)",HIB,103.821,87.568,185.783,108.476,174.08,114.593,163.339,108.686,140.229,130.25,121.903,113.545,215.17,211.806,206.12,205.711,275.139,265.503,277.739,268.946,78.833,75.823,91.043,87.658 "Xmrig - CPU Power Consumption Monitor (Watts)",LIB,255.85,471.52,200.26,386.29,244.62,435.41,246.71,459.17,236.66,261.08,424.51,459.94,281.13,291.65,471.91,477.04,275.61,309.29,454.34,512.22,250.01,468.8,251.56,471.37 "Sysbench - Test: CPU (Events/sec/Watt)",HIB,760.389,758.575,1187.215,1154.839,1281.009,1256.249,1187.26,1130.395,1042.945,976.088,944.064,889.169,1468.841,1475.897,1376.519,1361.034,1599.813,1559.959,1592.511,1467.988,390.69,393.033,419.359,418.682 "Sysbench - CPU Power Consumption Monitor (Watts)",LIB,202.8,405.89,212.54,433.63,197.32,401.14,223.24,467.53,162.63,181.37,358.55,398.19,210.46,209.43,447.07,452.02,279.03,293.29,562.92,620.12,255.95,509.12,255.74,512.11 "m-queens - CPU Power Consumption Monitor (Watts)",LIB,226.06,403.96,180.07,310.69,198.17,335.57,208.69,351.89,195.44,224.16,350.52,401.62,223.44,232.52,364.51,389.44,221.41,258.32,345.25,400.23,238.42,441.21,240.92,449.65 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec/Watt)",HIB,5332.27,5734.172,8860.519,9452.237,9060.918,9770.068,8292.504,8823.288,8374.574,7961.354,7280.365,7051.873,10290.144,10263.845,11096.41,10960.808,12028.362,11463.143,13185.906,12752.387,4345.277,4541.135,4826.616,5213.679 "Coremark - CPU Power Consumption Monitor (Watts)",LIB,228.48,425.22,205.92,387.17,206.43,379.42,239.67,438.32,200.58,216.93,325.19,353.76,286.7,285.52,541.56,549.62,312.09,358.68,571.53,659.76,243.01,441.81,244,455.63 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s/Watt)",HIB,347225.245,345458.363,622742.077,556845.744,590632.173,542075.991,574873.974,531830.794,507472.22,471362.805,445538.478,410372.351,683901.117,686285.33,610955.114,613695.969,780512.541,735469.947,609038.862,551147.094,297149.59,280949.525,333734.853,310526.926 "asmFish - CPU Power Consumption Monitor (Watts)",LIB,273.19,529.61,222.21,443.37,269.41,537.92,272.25,548.6,239.87,262.64,471.6,519.63,306.38,309.78,603.09,608.55,319.25,381.14,605.74,720.4,259.08,515.46,263.61,525.78 "Tachyon - CPU Power Consumption Monitor (Watts)",LIB,210.51,470.84,207.18,378.13,229.98,412.54,227.03,412.43,225.23,282.66,420.47,537.23,273.45,311.31,468.26,526.42,268.95,318.22,462.62,532.09,251.02,477.63,253.47,481.76 "CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring (Watts)",,216.76,388.91,158.59,211.35,169.5,332,193.18,336.85,195.06,219.57,379.52,436.76,221.23,234.13,366.87,420.09,223.35,256.57,361.53,443.82,225.19,410.13,223.73,431.65 "WebP2 Image Encode - Encode Settings: Default (MP/s/Watt)",HIB,0.109,0.049,0.108,0.052,0.109,0.057,0.114,0.057,0.176,0.185,0.072,0.074,0.167,0.174,0.079,0.076,0.14,0.144,0.064,0.067,0.069,0.032,0.059,0.029 "WebP2 Image Encode - CPU Power Consumption Monitor (Watts)",LIB,94.45,178.53,85.41,157.99,83.58,146.55,83.79,149.74,70.22,70.85,141.94,145.58,70.29,67.27,130.1,133.41,82.85,83.72,154.93,153.04,130.44,250.52,138.45,270.74 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s/Watt)",HIB,0.002,0.001,0.003,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.003,0.003,0.002,0.002,0.003,0.003,0.002,0.002,0.001,0.001,0.001,0.001 "WebP2 Image Encode - CPU Power Consumption Monitor (Watts)",LIB,230.16,412.03,190.89,336.84,197.34,314.48,213.88,361.54,202.63,245.38,373.78,430.44,231.48,239.87,369.82,367.86,238.35,268.87,400.73,396.58,238.29,441.89,242.78,443.9 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s/Watt)",HIB,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.002,0.001,0.001,0.001,0.001,0.001,0.001,0.001 "WebP2 Image Encode - CPU Power Consumption Monitor (Watts)",LIB,248.29,457.06,204.74,379.05,216.91,359.07,231.2,418.65,219.66,267.41,419.5,498.04,259.1,273.76,433.86,435.42,272.99,320.99,464.4,465.83,248.53,469.27,247.02,466.73 "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,236.3,472.4,,,225.95,430.1,243.15,478.82,221.68,246.14,455.09,494.28,281.67,280.49,546.05,556.75,290.64,349.36,581.05,,254.14,497.24,258.62,502.64 "OpenFOAM - CPU Power Consumption Monitor (Watts)",LIB,259.39,514.83,,,231.83,472.84,258.04,522.53,232.16,253.3,508.07,555.87,283.11,282.52,612.28,636.39,309.19,365.46,642.45,,263.13,523.58,267.76,532.65 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,172.62,319.32,,,,,,,139.95,164.4,284.44,318.35,167.74,177.37,304.87,302.72,167.15,195.66,315.25,341.54,189.87,335.3,193.19,365.16 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,179.78,322.27,,,,,,,143.15,174.29,272.76,302.65,159.9,176.32,272.84,278.57,157.28,169.11,285.05,302.77,186.16,339.64,192.86,372.78 "oneDNN - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,149.88,169.55,283.39,316.48,177.85,178.46,293.79,298.43,171.78,185.55,307.49,330.35,189.39,378.9,194.24,394.75 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,189.09,271.99,,,,,,,164.91,177.03,257.23,271.82,186.65,194.54,280.56,282.06,201.01,212.22,,,,,,308.01 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,201.85,400.04,,,,,,,183.77,226.51,370.99,464.27,225.38,261.67,449.87,523.3,239.01,264.06,,,,,,420.89 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,208.09,284.65,,,,,,,170.56,179.97,257.35,274.72,196.31,201.78,293.85,280.29,213.26,229.16,,,,,,320.21 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,235.69,461.82,,,,,,,177.87,233.13,393.31,491.99,240.74,280.43,480.63,576.77,253.5,282.47,,,,,,467.32 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,205.6,292.35,,,,,,,174.02,190.8,265.41,291.12,188.1,189.39,272.68,280.37,200.64,206.78,,,,,,333.28 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,240.1,474.64,,,,,,,201.21,238.78,409.32,500.74,255.49,286.24,507.86,578.95,264.19,323.54,,,,,,487.54 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,194.04,277.88,,,,,,,173.97,191.96,272.32,289.65,214.02,215.98,295.57,299.48,224.11,254.33,,,,,,311.58 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,201.49,282.39,,,,,,,162.66,169.67,252.01,273.83,187.51,188.49,269.01,269.65,226.78,233.47,,,,,,316.31 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,199.09,373.55,,,,,,,201.68,258.35,412.94,513.33,256.31,296.96,491.63,579.1,267.47,301.53,,,,,,455.44 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,207.6,287.91,,,,,,,189.02,204.75,280.74,302.46,227.49,226.91,317.1,310.25,241.78,253.98,,,,,,335.13 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,232.23,463.81,,,,,,,205.19,248.81,422.3,523.95,260.68,294.07,520.95,600.4,271.74,334.29,,,,,,478.65 "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,196.87,278.82,,,,,,,181.52,191.11,271.13,289.48,215.49,215.87,294.37,298.15,222.02,254.33,,,,,,305.85 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,267.53,500.4,,,,,,,227.43,247.61,462.05,512.33,287.91,288.2,549.4,557.21,307.92,365.17,,,,,,519.73 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,244.68,461.79,,,,,,,207.8,232.77,410.97,450.01,253.58,251.94,501.89,500.83,281.67,332.85,,,,,,487.91 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,228.06,418.02,,,,,,,200.09,228.15,392.21,439.31,238.55,243.71,415.47,433.7,240.4,274.65,,,,,,439.94 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,244.7,491.96,,,,,,,226.77,257.45,466.07,539.09,305.45,305.44,613.49,630.1,314.7,376.68,,,,,,512.35 "OpenRadioss - CPU Power Consumption Monitor (Watts)",LIB,272.49,509.82,,,,,,,227.07,247.31,457.47,499.15,284,283.78,535.57,537.93,292.49,358.52,,,,,,507.61 "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,239.25,284.84,480.13,549.7,,,,,,,,,,,, "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,242.99,292.8,483.89,574.12,,,,,,,,,,,, "OpenVINO - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,231.11,302.48,446.53,539.15,,,,,,,,,,,, "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,173.92,199.54,351.93,418.13,,,,,,,,,,,, "Neural Magic DeepSparse - CPU Power Consumption Monitor (Watts)",LIB,,,,,,,,,174.09,200.37,351.81,416.59,,,,,,,,,,,, "Geometric Mean Of All Test Results - Result Composite - AMD EPYC 9374F Genoa Zen 4 Linux Performance (Geometric Mean)",HIB,103.863,160.216,117.565,175.296,124.990,186.591,133.720,195.525,155.423,161.227,241.590,247.108,208.958,213.513,305.527,311.936,227.157,242.524,323.928,345.781,96.345,153.210,102.366,159.636 "DaCapo Benchmark - Performance / Cost - Java Test: Jython (msec x Dollar)",LIB,18525370.000,38505340.000,27389600.000,54618400.000,26812500.000,54821000.000,22291500.000,46728000.000,13953450.000,13880700.000,28915700.000,28954500.000,29123835.000,28814877.000,60010548.000,60355854.000,38248200.000,38000295.000,79801800.000,80155950.000,22240600.000,44639800.000,49407000.000,99459000.000 "BRL-CAD - Performance / Cost - VGR Performance Metric (VGR Performance Metric/Dollar)",HIB,88.993,84.156,105.812,242.097,114.544,227.892,141.375,272.086,137.751,142.996,123.771,129.883,131.658,137.335,220.461,227.621,264.633,269.331,245.394,246.545,63.018,52.681,,87.234 "ASTC Encoder - Performance / Cost - Preset: Medium (MT/s/Dollar)",HIB,0.03410127,0.03098239,0.03478509,0.02831978,0.04031258,0.03462379,0.04809122,0.04110666,0.04443951,0.04759530,0.04318148,0.04312047,0.03967808,0.04276079,0.03019962,0.03376471,0.03574924,0.04067670,0.02421046,0.02547062,0.02436003,0.02371961,0.01294715,0.01240638 "ASTC Encoder - Performance / Cost - Preset: Thorough (MT/s/Dollar)",HIB,0.00427347,0.00418250,0.00449645,0.00431297,0.00521360,0.00509830,0.00620100,0.00596492,0.00565856,0.00606144,0.00585360,0.00598167,0.00523165,0.00560547,0.00498246,0.00541444,0.00476064,0.00553996,0.00451598,0.00517218,0.00326948,0.00330439,0.00174264,0.00173208 "ASTC Encoder - Performance / Cost - Preset: Exhaustive (MT/s/Dollar)",HIB,0.00044710,0.00044568,0.00047863,0.00045171,0.00055675,0.00055686,0.00065947,0.00064915,0.00059513,0.00063680,0.00058958,0.00063477,0.00055348,0.00059232,0.00053053,0.00058913,0.00050460,0.00059609,0.00049722,0.00058025,0.00032751,0.00033605,0.00017542,0.00017495 "Etcpak - Performance / Cost - Benchmark: Multi-Threaded - Configuration: ETC2 (Mpx/s/Dollar)",HIB,1.524,0.744,0.999,0.495,1.029,0.514,1.271,0.630,2.067,2.116,0.967,0.983,0.987,0.988,0.490,0.486,0.784,0.791,0.394,0.391,1.012,0.511,0.429,0.224 "WebP2 Image Encode - Performance / Cost - Encode Settings: Default (MP/s/Dollar)",HIB,0.00198268,0.00084408,0.00137463,0.00061567,0.00140615,0.00064000,0.00173636,0.00077818,0.00255464,0.00270515,0.00105464,0.00111649,0.00129416,0.00128645,0.00056894,0.00055849,0.00098263,0.00102160,0.00042186,0.00043244,0.00147705,0.00065984,0.00063256,0.00030853 "WebP2 Image Encode - Performance / Cost - Encode Settings: Quality 75, Compression Effort 7 (MP/s/Dollar)",HIB,0.00007122,0.00005679,0.00007164,0.00004701,0.00007385,0.00004923,0.00009455,0.00006000,0.00009897,0.00010515,0.00008041,0.00008351,0.00007923,0.00007923,0.00004677,0.00004622,0.00006607,0.00007031,0.00003515,0.00003515,0.00004590,0.00004180,0.00002481,0.00002054 "WebP2 Image Encode - Performance / Cost - Encode Settings: Quality 95, Compression Effort 7 (MP/s/Dollar)",HIB,0.00003465,0.00002984,0.00003582,0.00002537,0.00003692,0.00002692,0.00004727,0.00003273,0.00004948,0.00005155,0.00004227,0.00004330,0.00003962,0.00003962,0.00002531,0.00002531,0.00003473,0.00003812,0.00001948,0.00001906,0.00002295,0.00002131,0.00001163,0.00001047 "Xmrig - Performance / Cost - Variant: Monero - Hash Count: 1M (H/s/Dollar)",HIB,4.748,3.630,4.264,3.826,4.840,4.387,6.624,3.949,6.456,6.669,5.127,5.156,5.339,5.369,4.483,4.514,4.976,5.341,4.401,4.705,2.108,1.930,1.121,1.024 "Xmrig - Performance / Cost - Variant: Wownero - Hash Count: 1M (H/s/Dollar)",HIB,5.113,3.974,5.553,3.127,6.551,3.838,7.327,4.537,6.843,7.012,5.335,5.384,6.657,6.798,5.352,5.400,6.424,6.956,5.345,5.823,3.231,2.914,1.775,1.602 "QuantLib - Performance / Cost (MFLOPS/Dollar)",HIB,0.587,0.298,0.422,0.211,0.413,0.207,0.490,0.243,0.732,0.726,0.361,0.361,0.338,0.340,0.171,0.168,0.257,0.258,0.129,0.128,0.437,0.219,0.195,0.09746899 "Graph500 - Performance / Cost - Scale: 26 (bfs median_TEPS/Dollar)",HIB,103565.929,55451.107,79361.940,53210.149,104085.385,53611.923,130250.182,53773.909,95582.268,97977.113,91225.670,87116.701,88023.440,87751.073,61361.285,68149.004,75164.252,73135.790,56863.194,62667.937,106026.885,66110.738,54550.388,32714.341 "Graph500 - Performance / Cost - Scale: 26 (bfs max_TEPS/Dollar)",HIB,105942.252,57513.474,81539.403,54365.597,105661.846,55822.231,133176.545,55561.091,97241.237,99426.186,96190.825,98725.876,90488.060,89916.914,65636.074,71394.850,76799.068,74691.148,60888.183,67549.767,111479.672,68745.328,55591.628,34003.566 "Graph500 - Performance / Cost - Scale: 26 (sssp median_TEPS/Dollar)",HIB,39200.000,25807.122,34877.015,25093.134,40902.769,27450.538,52483.273,27180.636,43474.845,46956.701,40228.763,37777.423,38693.408,39056.344,25031.694,26858.699,35378.907,34963.236,22865.820,25451.334,32358.361,22074.016,15850.620,11024.961 "Graph500 - Performance / Cost - Scale: 26 (sssp max_TEPS/Dollar)",HIB,51618.864,31692.685,44352.090,33658.433,52468.000,36504.000,66713.273,34118.636,56670.309,60033.196,50435.258,48690.309,48588.313,48864.422,34764.994,36905.524,44705.718,44297.586,31253.240,35500.169,43177.213,27899.016,21174.496,14356.628 "OpenRadioss - Performance / Cost - Model: Bird Strike on Windshield (sec x Dollar)",LIB,734884.700,1339790.500,,,,,,,582727.500,564928.000,1005405.000,980670.000,993390.840,983122.530,3015793.560,3025244.040,1415891.700,1313660.400,,,,,,3661794.000 "OpenRadioss - Performance / Cost - Model: Rubber O-Ring Seal Installation (sec x Dollar)",LIB,354818.500,1032869.900,,,,,,,254819.000,244149.000,492663.000,485776.000,455622.180,456894.360,1455010.440,1453738.260,788692.050,726243.600,,,,,,2131854.000 "OpenRadioss - Performance / Cost - Model: Cell Phone Drop Test (sec x Dollar)",LIB,202241.350,287699.100,,,,,,,158013.000,151902.000,198365.000,189441.000,210182.310,207001.860,317681.520,302415.360,272577.450,240822.000,,,,,,858366.000 "OpenRadioss - Performance / Cost - Model: Bumper Beam (sec x Dollar)",LIB,471654.050,1044610.600,,,,,,,382277.000,371607.000,697915.000,675411.000,646085.700,645540.480,1329064.620,1319250.660,870736.800,818912.850,,,,,,2224218.000 "OpenRadioss - Performance / Cost - Model: INIVOL and Fluid Structure Interaction Drop Container (sec x Dollar)",LIB,1029233.400,1441300.800,,,,,,,773623.500,752429.000,1110359.000,1083393.000,1067631.630,1070539.470,1595313.720,1609125.960,1222879.950,1072484.250,,,,,,3795180.000 "RELION - Performance / Cost - Test: Basic - Device: CPU (sec x Dollar)",LIB,2372452.600,2369688.860,3834470.300,3968101.800,3681450.500,3813446.000,1521239.500,1620993.000,1735218.450,1634299.650,1766845.300,1635352.100,2329961.322,2280400.824,2391607.530,2374342.230,2916862.035,2892520.125,3010841.640,2999461.620,4655495.600,4677321.400,9246049.200,9471773.400 "WRF - Performance / Cost - Input: conus 2.5km (sec x Dollar)",LIB,94598872.000,135186305.660,113487501.100,115597391.400,107541304.000,108848090.000,84895492.000,81518041.000,54192833.000,53337870.150,56870304.600,75980759.600,80281018.857,80224579.500,78691657.122,81845064.210,90619040.235,87007430.340,96095226.270,93025170.750,122460556.100,129732665.000,241090847.700,261306295.800 "LeelaChessZero - Performance / Cost - Backend: Eigen (Nodes/s/Dollar)",HIB,0.224,0.676,0.537,0.312,0.600,0.354,0.961,0.528,0.354,0.376,1.251,1.369,0.990,1.057,0.534,0.561,0.784,0.860,0.382,0.440,0.276,0.545,0.346,0.229 "Numpy Benchmark - Performance / Cost (Score/Dollar)",HIB,0.102,0.05053224,0.07260000,0.03578582,0.07182923,0.03505231,0.08953273,0.04441909,0.140,0.140,0.06951959,0.06967113,0.06524596,0.06527237,0.03258116,0.03252339,0.04956036,0.04942821,0.02485642,0.02474629,0.06819508,0.03378361,0.03089767,0.01511202 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec/Dollar)",HIB,0.00990653,0.00471944,,,,,,,0.01352249,0.01370390,0.00665237,0.00680477,0.00979791,0.00980478,0.00485319,0.00484507,0.00741356,0.00758141,,,,,,0.00199971 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch x Dollar)",LIB,100908.200,211735.732,,,,,,,73924.670,72945.940,150260.760,146895.830,102007.936,101937.057,205927.777,206274.900,134817.822,131831.157,,,,,,499934.340 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec/Dollar)",HIB,0.01976194,0.01925028,,,,,,,0.03017755,0.03289625,0.02996156,0.03245999,0.02893841,0.03101507,0.02801427,0.03067821,0.02681548,0.02851335,,,,,,0.00851455 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch x Dollar)",LIB,807671.845,1657647.614,,,,,,,529299.415,485660.570,1065901.960,984175.580,1103476.210,1030533.044,2279352.184,2082029.797,1787235.683,1680150.167,,,,,,4689059.700 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec/Dollar)",HIB,0.01836370,0.00891250,,,,,,,0.02629433,0.02677130,0.01296719,0.01304771,0.01894842,0.01895663,0.00919293,0.00925790,0.01608429,0.01661981,,,,,,0.00389108 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch x Dollar)",LIB,54423.340,112067.579,,,,,,,38007.025,37330.935,77061.650,76588.290,52722.774,52699.148,108647.807,107897.221,62130.896,60126.407,,,,,,256802.880 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec/Dollar)",HIB,0.03901149,0.03793690,,,,,,,0.05925297,0.06364239,0.05861518,0.06306656,0.05730714,0.06132476,0.05482342,0.06003008,0.05303196,0.05643795,,,,,,0.01746598 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch x Dollar)",LIB,409653.803,841742.733,,,,,,,269739.540,251202.840,545138.060,506757.100,557775.508,521586.530,1165331.419,1063804.186,904301.957,849498.425,,,,,,2287711.800 "Neural Magic DeepSparse - Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec/Dollar)",HIB,0.02760510,0.01369396,,,,,,,0.04921221,0.05049718,0.02447933,0.02513013,0.02779235,0.02815333,0.01412192,0.01407198,0.01628479,0.01630802,,,,,,0.00871793 "Neural Magic DeepSparse - Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch x Dollar)",LIB,36212.267,72984.555,,,,,,,20310.345,19793.335,40828.270,39769.030,35963.620,35500.183,70771.373,71023.992,61383.639,61295.102,,,,,,114497.820 "Neural Magic DeepSparse - Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec/Dollar)",HIB,0.05186859,0.05148770,,,,,,,0.09731014,0.103,0.09545258,0.102,0.09281110,0.09675592,0.08889128,0.09570042,0.08594791,0.09601097,,,,,,0.03195147 "Neural Magic DeepSparse - Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch x Dollar)",LIB,308139.867,620484.566,,,,,,,164193.840,155705.370,334692.680,314730.080,344311.882,330315.176,718778.065,667598.264,557793.333,499182.689,,,,,,1250549.220 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec/Dollar)",HIB,0.00315174,0.00154139,,,,,,,0.00346377,0.00355126,0.00171649,0.00176469,0.00290941,0.00292496,0.00143661,0.00145231,0.00301340,0.00315574,,,,,,0.00076051 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch x Dollar)",LIB,317252.416,648625.881,,,,,,,288675.880,281564.810,582518.950,566599.310,343662.162,341835.675,695966.060,688447.477,331781.886,316816.688,,,,,,1314768.000 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec/Dollar)",HIB,0.00466899,0.00456459,,,,,,,0.00420518,0.00437194,0.00416006,0.00436595,0.00392445,0.00406942,0.00385414,0.00404497,0.00361641,0.00415920,,,,,,0.00183991 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec/Dollar)",HIB,0.00760468,0.00360983,,,,,,,0.01584786,0.01595697,0.00777772,0.00791482,0.01019893,0.01027215,0.00503489,0.00500399,0.00861109,0.00869537,,,,,,0.00298755 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch x Dollar)",LIB,131446.488,276922.592,,,,,,,63068.915,62635.810,128491.050,126258.110,97987.847,97286.331,198476.437,199737.712,116076.204,114951.188,,,,,,334517.640 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec/Dollar)",HIB,0.01904437,0.01785936,,,,,,,0.04282538,0.04670369,0.04118458,0.04501776,0.03621841,0.03944420,0.03461611,0.03822041,0.03398552,0.03629332,,,,,,0.00842693 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch x Dollar)",LIB,838300.526,1786190.616,,,,,,,373091.100,342173.320,775524.700,709624.840,882301.356,809882.510,1844808.209,1670981.169,1409633.870,1319167.433,,,,,,4744207.200 "Neural Magic DeepSparse - Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec/Dollar)",HIB,0.01638936,0.00814227,,,,,,,0.02693414,0.02762930,0.01343319,0.01379834,0.02082795,0.02090101,0.01034657,0.01043967,0.01629018,0.01690678,,,,,,0.00463700 "Neural Magic DeepSparse - Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch x Dollar)",LIB,60991.378,122740.187,,,,,,,37106.380,36172.755,74398.030,72423.110,47970.273,47804.890,96565.732,95702.467,61338.780,59098.191,,,,,,215386.140 "Neural Magic DeepSparse - Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec/Dollar)",HIB,0.02634643,0.02579486,,,,,,,0.04545052,0.04854998,0.04460495,0.04805446,0.04013469,0.04273399,0.03911622,0.04271476,0.03791163,0.04233360,,,,,,0.01293050 "Neural Magic DeepSparse - Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch x Dollar)",LIB,606631.060,1237541.471,,,,,,,351550.310,329244.675,715976.400,664793.380,795680.438,747755.600,1632143.331,1494978.701,1263204.650,1131531.680,,,,,,3089570.640 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec/Dollar)",HIB,0.00314708,0.00154110,,,,,,,0.00345410,0.00355480,0.00171732,0.00176525,0.00291018,0.00291521,0.00143832,0.00144629,0.00302106,0.00314712,,,,,,0.00075921 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch x Dollar)",LIB,317721.005,648745.366,,,,,,,289484.860,281284.965,582234.740,566419.860,343577.653,342982.454,695126.422,691317.151,330954.356,317685.536,,,,,,1317012.600 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec/Dollar)",HIB,0.00466241,0.00457728,,,,,,,0.00420940,0.00437581,0.00416953,0.00436744,0.00392756,0.00406762,0.00383058,0.00402316,0.00360191,0.00414869,,,,,,0.00184326 "Neural Magic DeepSparse - Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch x Dollar)",LIB,,,,,,,,,3803446.145,3658244.420,7674687.530,7321949.940,,,,,,,,,,,, "Neural Magic DeepSparse - Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch x Dollar)",LIB,,,,,,,,,3800137.475,3654243.655,7671585.470,7321352.420,,,,,,,,,,,, "GROMACS - Performance / Cost - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day/Dollar)",HIB,0.00083888,0.00073157,0.00077075,0.00062075,0.00088800,0.00077477,0.00130273,0.00101964,0.00124000,0.00137835,0.00117330,0.00121536,0.00106097,0.00113844,0.00094112,0.00101144,0.00094426,0.00109750,0.00079144,0.00084007,0.00071934,0.00070951,0.00038605,0.00034965 "High Performance Conjugate Gradient - Performance / Cost (GFLOP/s/Dollar)",HIB,0.00377754,0.00364385,0.00285470,0.00277996,0.00294177,0.00287065,0.00358396,0.00347634,0.00932567,0.00935243,0.00884578,0.00647568,0.00471138,0.00498564,0.00460053,0.00320090,0.00383091,0.00376784,0.00364353,0.00369163,0.00330759,0.00327558,0.00160224,0.00158011 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: BT.C (Mop/s/Dollar)",HIB,18.918,19.190,19.067,17.337,20.492,19.417,30.284,33.567,27.580,27.970,31.179,32.134,25.883,26.162,25.503,25.431,22.645,23.213,21.219,23.022,15.603,15.983,8.943,7.483 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: EP.C (Mop/s/Dollar)",HIB,0.622,0.593,0.676,0.615,0.767,0.711,0.903,0.844,0.960,1.000,0.886,0.891,0.792,0.764,0.707,0.713,0.731,0.809,0.696,0.795,0.652,0.625,0.340,0.309 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: EP.D (Mop/s/Dollar)",HIB,0.623,0.614,0.727,0.697,0.816,0.795,0.998,0.902,1.019,1.053,0.990,1.018,0.950,0.978,0.891,0.900,0.960,1.042,0.852,0.920,0.685,0.677,0.359,0.335 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: FT.C (Mop/s/Dollar)",HIB,11.770,10.160,9.118,8.696,9.376,9.095,11.770,11.612,20.835,21.917,17.248,18.042,13.708,14.031,12.880,12.896,10.318,10.616,9.109,9.432,9.325,8.032,4.396,3.858 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: LU.C (Mop/s/Dollar)",HIB,23.348,25.778,20.281,19.270,22.171,22.103,46.513,35.673,36.829,37.586,38.134,38.681,27.999,27.885,25.955,26.047,23.233,23.048,20.771,21.509,16.012,15.480,7.578,7.188 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: SP.B (Mop/s/Dollar)",HIB,16.058,15.339,13.443,10.066,13.648,10.497,24.592,14.890,23.419,23.896,21.116,21.128,18.138,18.447,12.262,11.806,13.787,14.232,9.295,10.108,7.879,9.120,3.832,4.643 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: SP.C (Mop/s/Dollar)",HIB,9.745,10.970,7.758,8.441,7.983,8.821,16.216,20.914,18.636,18.893,21.170,21.163,13.203,13.240,13.306,13.185,10.626,10.740,10.921,11.147,5.785,7.310,2.923,3.509 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: IS.D (Mop/s/Dollar)",HIB,0.508,0.425,0.399,0.355,0.415,0.364,0.516,0.470,0.878,0.878,0.590,0.621,0.537,0.539,0.423,0.440,0.414,0.419,0.326,0.341,0.359,0.237,0.176,0.108 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: MG.C (Mop/s/Dollar)",HIB,10.843,9.898,8.527,7.468,8.800,7.609,10.932,11.204,25.174,25.248,22.024,22.366,13.829,14.134,12.833,12.820,10.195,10.312,8.358,8.574,9.116,9.566,4.481,4.591 "NAS Parallel Benchmarks - Performance / Cost - Test / Class: CG.C (Mop/s/Dollar)",HIB,5.783,4.098,3.579,3.545,3.751,3.601,7.298,4.643,8.823,9.324,6.709,6.771,5.022,5.111,4.539,4.483,4.596,4.698,3.351,3.484,3.633,3.097,1.768,1.521 "Rodinia - Performance / Cost - Test: OpenMP LavaMD (sec x Dollar)",LIB,314011.775,342870.000,309258.600,360674.400,274586.000,311350.000,240784.500,277123.000,256201.250,234201.650,280553.100,253625.900,295809.111,270619.947,340235.454,310575.486,337729.245,289092.645,392516.250,346500.360,530212.000,586990.800,1015488.000,1156459.200 "NAMD - Performance / Cost - ATPase Simulation - 327,506 Atoms (days/ns x Dollar)",LIB,3036.945,3205.315,3049.907,3581.418,2484.690,2914.340,2069.980,2460.260,2350.456,2194.334,2429.462,2227.508,2553.538,2381.430,3128.472,2828.601,2927.404,2615.634,3021.372,2646.917,3680.435,3712.338,7023.018,7396.602 "oneDNN - Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms x Dollar)",LIB,6105.476,7256.293,6273.130,8471.614,5613.355,8163.597,4599.975,6525.585,4489.786,4291.348,5559.400,5335.902,5407.819,5327.481,7981.566,8044.448,7920.801,7219.938,12406.063,11244.050,9740.785,27533.692,19085.163,39381.636 "oneDNN - Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms x Dollar)",LIB,8333.819,13490.688,10691.458,10637.242,10254.790,10355.735,5135.999,7863.416,1922.831,1770.948,2620.814,2564.923,2546.514,2371.971,5265.153,5125.322,3374.105,3318.433,8999.070,8070.040,9149.756,24175.886,18099.474,31669.758 "oneDNN - Performance / Cost - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms x Dollar)",LIB,15321.094,21706.580,21456.147,50149.098,20662.915,49824.580,17697.405,41357.580,7400.518,7193.811,10157.161,9858.401,10178.167,10138.729,13807.769,13544.446,13495.240,12862.610,23249.570,22162.872,10002.963,12268.259,20149.671,23966.059 "oneDNN - Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms x Dollar)",LIB,6101.787,7143.073,,,,,,,4491.828,4285.848,5578.780,5363.770,5431.282,5324.191,7985.728,7972.807,7907.024,7202.455,12509.475,11538.703,9832.773,27614.700,19018.857,36648.384 "oneDNN - Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms x Dollar)",LIB,8329.611,10047.348,,,,,,,1942.823,1783.297,2692.468,2546.075,2561.126,2363.247,5347.318,5163.688,3432.044,3248.665,9022.774,8291.407,9264.192,24471.004,18119.985,29985.792 "oneDNN - Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms x Dollar)",LIB,,,,,,,,,3013.698,2912.561,3875.567,3700.424,3639.625,3609.229,6542.004,6415.240,4656.553,4429.047,10425.397,9126.705,28724.046,29126.646,52905.609,54899.304 "OpenVINO - Performance / Cost - Model: Face Detection FP16 - Device: CPU (FPS/Dollar)",HIB,0.00128393,0.00106833,0.00133881,0.00117910,0.00149846,0.00123154,0.00188364,0.00158273,0.00492577,0.00510309,0.00479072,0.00494330,0.00458127,0.00471773,0.00451249,0.00458127,0.00424058,0.00453283,0.00433630,0.00464972,0.00177377,0.00179016,0.00093411,0.00092752 "OpenVINO - Performance / Cost - Model: Face Detection FP16 - Device: CPU (ms x Dollar)",LIB,12397399.950,14887415.400,23817562.000,27050982.000,21051290.000,25772760.000,16824940.000,20033310.000,3244019.500,3125728.000,3334084.000,3233980.000,6967911.600,6764726.280,7074592.980,6976453.380,11279795.550,10515894.000,11053493.700,10289238.000,8945772.000,8908074.000,21221274.000,21452184.000 "OpenVINO - Performance / Cost - Model: Face Detection FP16-INT8 - Device: CPU (FPS/Dollar)",HIB,0.00353224,0.00356208,0.00366866,0.00374627,0.00425692,0.00441385,0.00491636,0.00499636,0.00944536,0.00984330,0.00906701,0.00933918,0.00887201,0.00916364,0.00859855,0.00870970,0.00820584,0.00876662,0.00821813,0.00899746,0.00630820,0.00600820,0.00330930,0.00317829 "OpenVINO - Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS/Dollar)",HIB,4.406,4.160,4.787,4.469,5.202,4.992,6.539,6.206,14.633,15.544,12.813,14.250,10.716,10.975,8.880,8.900,9.515,10.028,6.133,7.042,4.025,4.202,2.223,2.289 "OpenVINO - Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms x Dollar)",LIB,7221.050,15273.300,13266.000,28274.000,12220.000,25350.000,9735.000,20350.000,2134.000,2037.000,4559.000,4365.000,4725.240,4634.370,9268.740,9268.740,7673.250,7319.100,12749.400,12277.200,7869.000,15006.000,17673.000,34314.000 "OpenVINO - Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS/Dollar)",HIB,7.933,7.613,7.633,7.598,8.485,8.161,10.522,9.832,17.776,18.615,15.021,16.508,14.532,14.701,9.650,9.420,12.669,13.538,7.042,7.362,7.879,8.877,4.385,4.602 "OpenVINO - Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms x Dollar)",LIB,4000.150,8208.100,6968.000,14606.000,6370.000,13130.000,4950.000,10560.000,1503.500,1406.500,3104.000,3007.000,3362.190,3271.320,6360.900,6360.900,5312.250,5076.150,8499.600,8499.600,3660.000,6954.000,8127.000,15222.000 "OpenVINO - Performance / Cost - Model: Person Detection FP16 - Device: CPU (FPS/Dollar)",HIB,0.00101829,0.00094514,0.00101343,0.00097090,0.00116769,0.00110692,0.00144909,0.00138727,0.00278557,0.00289485,0.00223918,0.00243299,0.00253879,0.00263013,0.00199296,0.00204468,0.00234985,0.00251927,0.00161118,0.00176789,0.00101311,0.00097377,0.00053411,0.00051085 "OpenVINO - Performance / Cost - Model: Person Detection FP16 - Device: CPU (ms x Dollar)",LIB,15561882.250,16767901.500,30980532.000,32495134.000,26987675.000,28485990.000,21762070.000,22737220.000,5703745.500,5483264.500,7107384.000,6547015.000,12483993.210,12056086.380,15966767.700,15550401.360,20245338.900,18856244.550,29606467.800,26968286.400,15598554.000,16299810.000,36999909.000,38768886.000 "OpenVINO - Performance / Cost - Model: Person Detection FP32 - Device: CPU (FPS/Dollar)",HIB,0.00101636,0.00094418,0.00101194,0.00095821,0.00116615,0.00110615,0.00145818,0.00137455,0.00277938,0.00285773,0.00225670,0.00241237,0.00254429,0.00262353,0.00197920,0.00206889,0.00233376,0.00251419,0.00160737,0.00174545,0.00099672,0.00095656,0.00052248,0.00050271 "OpenVINO - Performance / Cost - Model: Person Detection FP32 - Device: CPU (ms x Dollar)",LIB,15585883.150,16794396.000,31044249.000,32875158.000,26959270.000,28492230.000,21622205.000,22932470.000,5716937.500,5551552.500,7059757.000,6596776.000,12474088.380,12089253.930,16080355.200,15380837.940,20333876.400,18867459.300,29663840.100,27317714.400,15825230.000,16588218.000,37617948.000,39401244.000 "OpenVINO - Performance / Cost - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS/Dollar)",HIB,0.349,0.365,0.367,0.394,0.424,0.456,0.484,0.521,0.960,1.003,0.943,0.973,0.906,0.937,0.892,0.904,0.834,0.898,0.839,0.926,0.660,0.702,0.346,0.372 "OpenVINO - Performance / Cost - Model: Weld Porosity Detection FP16 - Device: CPU (FPS/Dollar)",HIB,0.148,0.143,0.154,0.143,0.173,0.164,0.217,0.219,0.487,0.504,0.470,0.485,0.458,0.471,0.445,0.451,0.424,0.451,0.423,0.460,0.183,0.179,0.09571008,0.09334535 "OpenVINO - Performance / Cost - Model: Weld Porosity Detection FP16 - Device: CPU (ms x Dollar)",LIB,107796.250,111484.700,208169.000,223244.000,184470.000,193440.000,147125.000,145970.000,32786.000,31670.500,33853.000,32883.000,69697.290,67879.890,71605.560,70696.860,113091.900,106245.000,113091.900,104120.100,174277.000,354776.000,417315.000,850626.000 "OpenVINO - Performance / Cost - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS/Dollar)",HIB,0.242,0.231,0.253,0.248,0.292,0.288,0.339,0.333,0.609,0.663,0.529,0.547,0.548,0.598,0.503,0.507,0.509,0.558,0.473,0.529,0.324,0.317,0.175,0.169 "OpenVINO - Performance / Cost - Model: Vehicle Detection FP16 - Device: CPU (FPS/Dollar)",HIB,0.150,0.144,0.141,0.142,0.163,0.167,0.219,0.212,0.392,0.426,0.377,0.391,0.313,0.317,0.334,0.347,0.290,0.289,0.315,0.342,0.08571639,0.08418115,0.04272868,0.04311550 "OpenVINO - Performance / Cost - Model: Vehicle Detection FP16 - Device: CPU (ms x Dollar)",LIB,106913.100,110861.300,226594.000,224852.000,195910.000,191100.000,146025.000,150480.000,40788.500,37490.500,42292.000,40837.000,102047.010,100865.700,95776.980,91960.440,165151.950,165742.200,152048.400,140007.300,186416.000,189710.000,467238.000,462852.000 "OpenVINO - Performance / Cost - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS/Dollar)",HIB,0.217,0.195,0.227,0.200,0.252,0.224,0.341,0.291,0.590,0.627,0.431,0.453,0.524,0.543,0.407,0.409,0.488,0.520,0.382,0.409,0.161,0.142,0.08742868,0.07779612 "OpenVINO - Performance / Cost - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms x Dollar)",LIB,73561.200,81977.100,140901.000,159594.000,126815.000,142480.000,93720.000,109780.000,27063.000,25511.000,37054.000,35211.000,60973.770,58883.760,78511.680,78148.200,98217.600,92197.050,125605.200,117105.600,98942.000,112484.000,228330.000,256452.000 "OpenVINO - Performance / Cost - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS/Dollar)",HIB,0.01728970,0.01675265,0.01744925,0.01665299,0.02019538,0.01954077,0.02548909,0.02500273,0.05487010,0.05800000,0.04964433,0.05090928,0.04949488,0.05182238,0.04360790,0.04446792,0.04641931,0.04998560,0.04123041,0.04393393,0.02025574,0.01687213,0.01087132,0.00892326 "OpenVINO - Performance / Cost - Model: Machine Translation EN To DE FP16 - Device: CPU (ms x Dollar)",LIB,924242.450,954217.600,1830976.000,1918612.000,1581190.000,1635400.000,1252735.000,1278090.000,291388.000,275674.000,322040.000,314086.000,645903.960,616916.430,733139.160,718963.440,1033173.600,959392.350,1163028.600,1091490.300,789157.000,946110.000,1836573.000,2234280.000 "OpenVINO - Performance / Cost - Model: Face Detection FP16-INT8 - Device: CPU (ms x Dollar)",LIB,,,,,,,,,1689546.000,1622276.500,1761617.000,1710304.000,,,,,,,,,,,, "OpenVINO - Performance / Cost - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms x Dollar)",LIB,,,,,,,,,33271.000,31864.500,67415.000,65281.000,,,,,,,,,,,, "OpenVINO - Performance / Cost - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms x Dollar)",LIB,,,,,,,,,26190.000,24104.500,30167.000,29197.000,,,,,,,,,,,, "ASKAP - Performance / Cost - Test: tConvolve MPI - Degridding (Mpix/sec/Dollar)",HIB,3.911,3.813,2.993,2.929,3.436,3.388,5.872,5.669,5.155,5.410,5.153,5.313,3.483,3.448,3.348,3.414,3.589,3.904,3.556,3.757,1.212,1.229,0.680,0.662 "ASKAP - Performance / Cost - Test: tConvolve MPI - Gridding (Mpix/sec/Dollar)",HIB,4.331,4.210,3.113,3.062,3.562,3.460,6.191,6.059,6.304,6.908,6.562,6.930,4.125,4.101,3.916,4.077,4.022,4.349,3.962,4.190,1.410,1.422,0.782,0.759 "ACES DGEMM - Performance / Cost - Sustained Floating-Point Rate (GFLOP/s/Dollar)",HIB,0.00226919,0.00206268,0.00309467,0.00243481,0.00361268,0.00299275,0.00535652,0.00464063,0.00331561,0.00336251,0.00307615,0.00316896,0.00330524,0.00331536,0.00300794,0.00300250,0.00331636,0.00372329,0.00298529,0.00340552,0.00198803,0.00188762,0.00104627,0.00095503 "Pennant - Performance / Cost - Test: leblancbig (Hydro Cycle Time - sec x Dollar)",LIB,43000.246,45678.856,40876.285,48663.815,37783.252,45296.225,29808.416,36306.358,30404.970,30016.301,32666.564,31000.899,36561.272,35613.298,43152.018,43174.500,44422.463,39930.601,57189.653,50685.145,83905.134,79158.163,154887.978,125022.027 "Pennant - Performance / Cost - Test: sedovbig (Hydro Cycle Time - sec x Dollar)",LIB,73768.584,79505.267,75833.615,76269.825,66046.045,71504.121,52353.296,56369.819,55860.845,54058.537,58944.068,57275.386,64204.580,63031.339,69644.458,69368.868,69014.745,61518.594,82932.557,72089.027,166781.198,204237.638,337479.222,405595.866 "Algebraic Multi-Grid Benchmark - Performance / Cost (Figure Of Merit/Dollar)",HIB,196924.414,185309.208,151381.194,143102.239,156068.462,148453.205,192191.030,181717.939,483747.010,484671.052,439713.031,447440.701,258983.163,259217.087,234330.215,235475.918,197664.577,198390.202,184595.920,186987.011,175050.219,169435.683,83808.605,80067.481 "LULESH - Performance / Cost (z/s/Dollar)",HIB,3.679,2.939,2.932,2.836,3.068,2.943,4.133,3.990,5.107,5.220,5.334,5.532,3.320,3.349,3.268,3.311,2.500,2.585,2.457,2.506,3.068,2.925,1.439,1.356 "NWChem - Performance / Cost - Input: C240 Buckyball (sec x Dollar)",LIB,16336716.500,17629752.000,15505140.000,27866640.000,14325350.000,25988300.000,11293150.000,20531500.000,11853400.000,11252970.000,12808850.000,12490690.000,13231580.700,13098910.500,24385873.200,23804305.200,18297750.000,16420755.000,36217740.000,32010438.000,24135870.000,26550860.000,44546280.000,56517480.000 "OpenFOAM - Performance / Cost - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec x Dollar)",LIB,146958.493,253945.398,,,224210.370,410250.568,159162.300,337041.089,99342.055,95815.480,207221.818,198649.763,207526.016,207673.480,398561.763,405030.871,306253.042,273761.232,747737.365,,226826.853,377471.977,459746.222,1018436.450 "OpenFOAM - Performance / Cost - Input: drivaerFastback, Small Mesh Size - Execution Time (sec x Dollar)",LIB,291230.090,365675.011,,,314289.307,459367.545,220284.790,333858.492,209054.832,199503.678,252710.201,241923.403,283614.911,275510.898,381293.537,385203.146,336666.169,296753.453,540171.750,,524420.935,542973.603,965749.483,1058406.739 "OpenFOAM - Performance / Cost - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec x Dollar)",LIB,744493.995,1361991.021,,,1052054.835,2004769.130,696905.990,1625150.230,501841.965,491106.247,940402.846,864277.168,933997.754,1007239.246,1988547.284,1934524.887,1549915.282,1421532.365,3056003.084,,1080055.935,1913333.320,2238679.545,4517068.128 "OpenFOAM - Performance / Cost - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec x Dollar)",LIB,3461036.070,3227923.952,,,4081801.685,3602658.670,2011690.780,1829264.030,1813608.612,1801835.577,1641114.676,1664715.552,2706734.785,2711507.641,2359080.977,2347604.096,2911830.508,2808851.951,2634107.495,,5274318.823,4871870.652,10252014.936,9357466.500 "Xcompact3d Incompact3d - Performance / Cost - Input: input.i3d 129 Cells Per Direction (sec x Dollar)",LIB,29277.047,34169.791,33763.258,41398.445,33669.784,40709.176,24102.422,24715.428,16544.129,16132.707,17898.210,17577.710,23139.798,22549.063,27230.073,27543.700,27022.062,26459.386,34983.426,34189.841,36549.719,35401.879,68760.384,67507.811 "Xcompact3d Incompact3d - Performance / Cost - Input: input.i3d 193 Cells Per Direction (sec x Dollar)",LIB,121077.153,117551.220,146391.016,147598.270,141762.133,143113.123,92814.459,104585.689,58439.718,58761.434,58065.237,57148.194,86953.984,87224.485,90269.569,90081.335,97110.324,95358.427,103007.903,101508.409,161367.995,149421.160,309163.380,287567.241 "Xcompact3d Incompact3d - Performance / Cost - Input: X3D-benchmarking input.i3d (sec x Dollar)",LIB,3244269.043,3983381.028,4036380.455,3997520.535,3922981.693,3866654.311,3153225.691,2925318.990,1566501.059,1551560.362,1546832.024,2617807.957,2440570.440,2441224.713,2441393.040,2434498.842,3008553.914,2991553.427,2960400.717,2933094.807,3587183.983,3806749.481,7176593.713,7644981.386 "GPAW - Performance / Cost - Input: Carbon Nanotube (sec x Dollar)",LIB,413283.030,573216.300,491981.000,592668.600,454311.000,552643.000,329197.000,420233.000,266051.600,253776.250,329897.000,305841.000,366124.317,356392.140,448007.274,427107.174,423020.370,384264.555,546571.500,496046.100,508001.900,596262.800,1003542.600,1206820.800 "Coremark - Performance / Cost - CoreMark Size 666 - Iterations Per Second (Iterations/Sec/Dollar)",HIB,234.517,234.678,272.317,273.103,288.654,285.148,361.353,351.583,346.339,356.090,244.073,257.183,324.664,322.495,330.659,331.443,317.994,348.289,319.192,356.356,173.106,164.453,91.294,92.073 "Timed MPlayer Compilation - Performance / Cost - Time To Compile (sec x Dollar)",LIB,74906.705,107889.760,91274.100,139306.400,81861.000,131261.000,67122.000,109329.000,53228.750,51380.900,78104.400,76368.100,83255.094,81301.389,141666.330,139503.624,103470.825,99327.270,181726.170,176909.730,109873.200,145302.000,214720.500,305343.000 "7-Zip Compression - Performance / Cost - Test: Compression Rating (MIPS/Dollar)",HIB,53.288,40.100,53.508,39.228,59.448,44.799,73.403,49.762,70.700,72.381,52.494,54.412,60.056,60.680,41.411,41.971,55.817,59.304,36.910,37.734,35.453,29.896,18.796,15.408 "7-Zip Compression - Performance / Cost - Test: Decompression Rating (MIPS/Dollar)",HIB,47.594,45.368,52.415,47.302,59.262,55.333,74.936,68.010,60.935,62.867,58.281,59.145,57.613,57.717,51.902,52.139,55.313,62.815,49.401,56.419,27.250,27.192,14.546,14.049 "Timed LLVM Compilation - Performance / Cost - Build System: Ninja (sec x Dollar)",LIB,1142609.080,1403709.780,1249101.100,1627805.200,1085851.000,1463566.000,875721.000,1193764.000,789458.750,761197.800,983424.800,960814.100,1070048.772,1052011.077,1514584.812,1484452.320,1241791.560,1152451.320,1762439.280,1683983.250,1633165.200,1945790.200,3090530.400,3859576.800 "Timed LLVM Compilation - Performance / Cost - Build System: Unix Makefiles (sec x Dollar)",LIB,1423575.460,2073210.210,1733645.100,2849778.000,1589984.500,2731599.000,1276445.500,2215070.000,1036037.600,1008586.600,1532900.700,1521862.100,1640003.586,1624328.511,2903096.586,2906604.168,2020071.600,1975578.555,3746765.340,3727523.190,1976900.200,2726785.400,3817148.700,5743673.400 "Zstd Compression - Performance / Cost - Compression Level: 19 - Compression Speed (MB/s/Dollar)",HIB,0.01830606,0.00911453,0.01265672,0.00613433,0.01307692,0.00616154,0.01883636,0.00978182,0.02237113,0.02307216,0.01093814,0.01117526,0.01136789,0.01123583,0.00568394,0.00566193,0.00898772,0.00908937,0.00459127,0.00456586,0.01372131,0.00713934,0.00638760,0.00334109 "Zstd Compression - Performance / Cost - Compression Level: 19, Long Mode - Decompression Speed (MB/s/Dollar)",HIB,0.723,0.359,0.528,0.261,0.512,0.257,0.614,0.304,0.885,0.883,0.444,0.441,0.432,0.422,0.213,0.211,0.322,0.326,0.161,0.160,0.489,0.232,0.218,0.106 "asmFish - Performance / Cost - 1024 Hash Memory, 26 Depth (Nodes/s/Dollar)",HIB,18259.499,17609.140,20653.427,18424.541,24480.046,22430.390,28455.881,26523.691,25098.180,25525.740,21661.664,21983.808,23058.561,23395.931,20274.172,20549.513,21107.656,23745.347,15625.577,16816.880,12622.931,11870.354,6819.735,6328.257 "m-queens - Performance / Cost - Time To Solve (sec x Dollar)",LIB,99650.490,101749.270,85719.800,89230.600,79976.000,83759.000,62045.500,65065.000,82134.750,79748.550,83546.100,81518.800,87407.853,86926.242,91160.784,91397.046,94298.340,82080.165,99563.370,88254.180,167085.100,164968.400,317056.200,324331.800 "Timed Linux Kernel Compilation - Performance / Cost - Build: defconfig (sec x Dollar)",LIB,209955.925,287740.660,240282.100,350034.800,211971.500,320749.000,175554.500,265628.000,146945.300,142978.000,207841.900,201556.300,224721.510,216979.386,347832.186,341507.634,278657.025,265718.745,448519.170,430386.690,284662.600,373637.200,559589.100,772710.000 "Timed Linux Kernel Compilation - Performance / Cost - Build: allmodconfig (sec x Dollar)",LIB,2028096.830,2280137.450,2096684.600,2474899.600,1738743.500,2080195.000,1448089.500,1715010.000,1353596.200,1304790.650,1561234.400,1468657.600,1688410.035,1634387.820,2056787.928,1985309.586,2043504.525,1868943.990,2529480.960,2320485.240,2815381.800,3060809.200,5278022.100,5920738.800 "Sysbench - Performance / Cost - Test: CPU (Events/sec/Dollar)",HIB,29.683,29.634,37.661,37.371,38.888,38.764,48.190,48.045,34.971,36.501,34.896,36.500,34.019,34.016,33.862,33.852,37.814,38.757,37.969,38.557,16.393,16.402,8.314,8.310 "Kvazaar - Performance / Cost - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS/Dollar)",HIB,0.00721078,0.00481328,0.00552985,0.00416194,0.00601231,0.00438308,0.00759091,0.00500727,0.01094639,0.01117113,0.00675052,0.00685979,0.00685925,0.00683724,0.00403709,0.00411027,0.00649471,0.00652690,0.00303134,0.00303134,0.00481311,0.00328689,0.00213566,0.00154341 "GraphicsMagick - Performance / Cost - Operation: Enhanced (Iterations/min/Dollar)",HIB,0.135,0.105,0.139,0.09619403,0.159,0.111,0.189,0.132,0.154,0.159,0.126,0.129,0.134,0.136,0.09662155,0.09557610,0.121,0.141,0.08144854,0.08809826,0.09180328,0.08180328,0.04782946,0.04124031 "GraphicsMagick - Performance / Cost - Operation: Sharpen (Iterations/min/Dollar)",HIB,0.07449471,0.06188643,0.07626866,0.05671642,0.08953846,0.06600000,0.108,0.07954545,0.08515464,0.08886598,0.07340206,0.07536082,0.07670298,0.07747331,0.06063607,0.06129636,0.07141042,0.08462516,0.05010589,0.05900042,0.05196721,0.04745902,0.02697674,0.02434109 "Tachyon - Performance / Cost - Total Time (sec x Dollar)",LIB,220558.401,222644.193,208772.000,218897.040,180614.850,184147.600,156769.800,161662.600,168383.755,158078.960,172547.480,160213.930,181456.486,170892.848,190523.494,178661.324,197835.273,172524.173,209262.513,188476.269,338901.970,335155.960,636376.350,642389.040 "C-Ray - Performance / Cost - Total Time - 4K, 16 Rays Per Pixel (sec x Dollar)",LIB,89115.030,91515.120,82745.000,85183.800,71194.500,72488.000,60555.000,63602.000,73268.950,70897.300,75116.800,72905.200,77612.067,77893.764,85835.802,81619.434,78644.910,68516.220,89245.800,79353.210,152969.700,153158.800,286199.400,290611.200 "Blender - Performance / Cost - Blend File: BMW27 - Compute: CPU-Only (sec x Dollar)",LIB,215592.500,229930.700,203747.000,227800.000,175240.000,185510.000,151415.000,160710.000,153551.000,144966.500,162766.000,151223.000,167109.930,158568.150,181921.740,168291.240,184512.150,160429.950,199032.300,177075.000,313662.000,314760.000,588240.000,611718.000 "Blender - Performance / Cost - Blend File: Classroom - Compute: CPU-Only (sec x Dollar)",LIB,554410.400,577684.000,516637.000,553286.000,443105.000,455780.000,388135.000,400290.000,388533.500,365641.500,407303.000,371704.000,418002.000,393194.490,443990.820,405280.200,457089.600,394168.950,475033.200,416952.600,832101.000,824354.000,1559868.000,1582056.000 "Blender - Performance / Cost - Blend File: Fishy Cat - Compute: CPU-Only (sec x Dollar)",LIB,272218.000,292374.600,261568.000,295202.000,224315.000,240370.000,192335.000,205700.000,199044.000,187307.000,214855.000,195843.000,218088.000,205275.330,245167.260,223903.680,241648.350,213080.250,271515.000,248849.400,415288.000,418948.000,784836.000,808572.000 "Blender - Performance / Cost - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec x Dollar)",LIB,680493.050,721897.200,644540.000,723466.000,555815.000,573040.000,480700.000,497420.000,489898.500,459634.500,514294.000,473845.000,528681.660,497604.120,565393.140,519231.180,577146.450,507969.150,607013.100,554362.800,1039867.000,1031510.000,1942611.000,1966992.000 "Blender - Performance / Cost - Blend File: Barbershop - Compute: CPU-Only (sec x Dollar)",LIB,2171458.050,2313645.200,2010670.000,2304532.000,1721655.000,1849380.000,1466520.000,1542200.000,1457619.000,1385936.000,1592255.000,1491569.000,1564599.660,1496265.420,1780506.780,1625846.040,1691774.550,1500533.550,1925631.600,1732737.900,3286741.000,3353536.000,6081705.000,6288750.000 "POV-Ray - Performance / Cost - Trace Time (sec x Dollar)",LIB,69451.955,85540.870,70390.200,103032.600,63017.500,94874.000,53168.500,79013.000,55270.600,52768.000,69005.800,64446.800,67652.715,64926.615,106336.074,104191.542,84736.290,77653.290,142486.350,133939.530,106347.400,121146.000,204348.900,246235.200 "Timed Godot Game Engine Compilation - Performance / Cost - Time To Compile (sec x Dollar)",LIB,271376.410,422540.520,321064.000,583248.400,295087.000,559962.000,235477.000,428901.000,197171.900,193573.200,314464.300,306054.400,313765.023,310775.400,592417.878,599178.606,392610.690,383036.835,797498.580,787086.570,384574.500,545047.200,763667.100,1180737.000 "Embree - Performance / Cost - Binary: Pathtracer - Model: Asian Dragon (FPS/Dollar)",HIB,0.00884127,0.00654858,0.00941966,0.00512357,0.01094591,0.00566208,0.01466289,0.00909460,0.01147994,0.01169138,0.00915976,0.00955449,0.01083279,0.01102227,0.00881689,0.00901474,0.01022941,0.01168418,0.00818517,0.00889608,0.00586879,0.00573656,0.00325387,0.00308424 "Embree - Performance / Cost - Binary: Pathtracer - Model: Crown (FPS/Dollar)",HIB,0.00787507,0.00703643,0.00774472,0.00667711,0.00972106,0.00861102,0.01251995,0.01162270,0.01026188,0.01073155,0.00895548,0.00920049,0.00941552,0.00982822,0.00779344,0.00813503,0.00872274,0.00978765,0.00745027,0.00858047,0.00507228,0.00472575,0.00271988,0.00239914 "Embree - Performance / Cost - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS/Dollar)",HIB,0.00798572,0.00621347,0.00848778,0.00502245,0.01016735,0.00525110,0.01313280,0.00855456,0.01293280,0.01350301,0.01060759,0.01109267,0.01229221,0.01277693,0.00970319,0.00984747,0.01152949,0.01309917,0.00903230,0.00984332,0.00812572,0.00730315,0.00433082,0.00407791 "Embree - Performance / Cost - Binary: Pathtracer ISPC - Model: Crown (FPS/Dollar)",HIB,0.00718439,0.00646842,0.00715196,0.00616207,0.00894918,0.00781298,0.01154071,0.01055232,0.01108416,0.01172153,0.00955672,0.00986091,0.01009324,0.01065145,0.00819973,0.00864817,0.00931098,0.01047206,0.00772892,0.00898651,0.00635462,0.00560363,0.00333829,0.00285984 "Intel Open Image Denoise - Performance / Cost - Run: RT.hdr_alb_nrm.3840x2160 (Images / Sec/Dollar)",HIB,0.00021559,0.00018094,0.00021045,0.00016791,0.00025385,0.00019692,0.00030000,0.00017636,0.00032371,0.00033814,0.00027423,0.00028144,0.00029383,0.00030043,0.00021129,0.00021514,0.00025752,0.00028208,0.00015121,0.00015671,0.00026066,0.00022213,0.00013488,0.00011202 "Intel Open Image Denoise - Performance / Cost - Run: RT.ldr_alb_nrm.3840x2160 (Images / Sec/Dollar)",HIB,0.00021559,0.00018191,0.00021045,0.00016940,0.00025385,0.00019769,0.00030182,0.00017818,0.00032371,0.00033814,0.00027320,0.00028041,0.00029383,0.00030043,0.00021019,0.00021404,0.00025837,0.00028208,0.00015121,0.00015629,0.00026230,0.00022295,0.00013488,0.00011202 "Intel Open Image Denoise - Performance / Cost - Run: RTLightmap.hdr.4096x4096 (Images / Sec/Dollar)",HIB,0.00010780,0.00009047,0.00010448,0.00008284,0.00012462,0.00009692,0.00014909,0.00008636,0.00015464,0.00016082,0.00012887,0.00013196,0.00013866,0.00014196,0.00009959,0.00010124,0.00012198,0.00013384,0.00007158,0.00007497,0.00012459,0.00010656,0.00006434,0.00005349 "LuxCoreRender - Performance / Cost - Scene: DLSC - Acceleration: CPU (M samples/sec/Dollar)",HIB,0.00118383,0.00093744,0.00124328,0.00095075,0.00145692,0.00105846,0.00171818,0.00124727,0.00158557,0.00169072,0.00121237,0.00126082,0.00141521,0.00149664,0.00097282,0.00118466,0.00121220,0.00144600,0.00074799,0.00097459,0.00080656,0.00065410,0.00043643,0.00034109 "LuxCoreRender - Performance / Cost - Scene: Orange Juice - Acceleration: CPU (M samples/sec/Dollar)",HIB,0.00176901,0.00151684,0.00186418,0.00137985,0.00214000,0.00167385,0.00244182,0.00193000,0.00234639,0.00247629,0.00181546,0.00182680,0.00203588,0.00205018,0.00142071,0.00147739,0.00182042,0.00200085,0.00123380,0.00130411,0.00127705,0.00103852,0.00068140,0.00055155 "OSPRay - Performance / Cost - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec/Dollar)",HIB,0.00110602,0.00100228,0.00117236,0.00100134,0.00139237,0.00126227,0.00166311,0.00149063,0.00254680,0.00264918,0.00227004,0.00231816,0.00236847,0.00242357,0.00203843,0.00208828,0.00224752,0.00258839,0.00186211,0.00219005,0.00156683,0.00153959,0.00084031,0.00080860 "OSPRay - Performance / Cost - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec/Dollar)",HIB,0.00170185,0.00158535,0.00182696,0.00159617,0.00213357,0.00199602,0.00251116,0.00233473,0.00299553,0.00316505,0.00282233,0.00293681,0.00282800,0.00291054,0.00253281,0.00264439,0.00264010,0.00307669,0.00229603,0.00271682,0.00196592,0.00190090,0.00103720,0.00098189 "OSPRay Studio - Performance / Cost - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms x Dollar)",LIB,18068210.000,19252670.000,16508800.000,18719800.000,14111500.000,14781000.000,11687500.000,12111000.000,11285950.000,10713650.000,12212300.000,11552700.000,11713143.000,11267880.000,13030758.000,12122058.000,12513300.000,10813380.000,13670190.000,11875830.000,18318300.000,18202400.000,33578700.000,34391400.000 "OSPRay Studio - Performance / Cost - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms x Dollar)",LIB,318385965.000,307897260.000,265527700.000,298645800.000,227688500.000,238147000.000,187929500.000,193655000.000,180007750.000,171626950.000,195959400.000,185027500.000,187401201.000,180813126.000,208164996.000,193371360.000,200342655.000,173793210.000,218534160.000,189895230.000,294044400.000,290774800.000,537349500.000,549772200.000 "OSPRay Studio - Performance / Cost - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms x Dollar)",LIB,610080020.000,678373490.000,570853400.000,601579600.000,495300000.000,476125000.000,410025000.000,387970000.000,380870500.000,364584200.000,391433800.000,370598200.000,375438492.000,361453599.000,417474954.000,387524202.000,401110290.000,347598225.000,438366870.000,380923740.000,619101200.000,582403600.000,1148358000.000,1103027400.000 "OSPRay Studio - Performance / Cost - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms x Dollar)",LIB,18483810.000,19751390.000,16709800.000,19054800.000,14267500.000,15054000.000,11770000.000,12474000.000,11484800.000,10956150.000,12474200.000,11882500.000,11903970.000,11467794.000,13285194.000,12412842.000,12643155.000,10931430.000,14166000.000,12041100.000,18519600.000,18409800.000,33823800.000,34830000.000 "OSPRay Studio - Performance / Cost - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms x Dollar)",LIB,322567940.000,314952070.000,268636500.000,305104600.000,229918000.000,241982000.000,189332000.000,198209000.000,184018700.000,174861900.000,198646300.000,189305200.000,190336302.000,183830010.000,211654404.000,197896686.000,202597410.000,176201430.000,221343750.000,192940920.000,296539300.000,293507600.000,541026000.000,555345000.000 "OSPRay Studio - Performance / Cost - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms x Dollar)",LIB,619534920.000,690612910.000,573560200.000,612393400.000,501202000.000,484016000.000,411581500.000,396275000.000,390420150.000,371820400.000,397321700.000,377873200.000,379273206.000,367169322.000,423617766.000,395757024.000,405183015.000,350785575.000,444411030.000,386165160.000,622614800.000,589857800.000,1153066500.000,1112650800.000 "OSPRay Studio - Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms x Dollar)",LIB,21507300.000,22909950.000,19657800.000,22096600.000,16783000.000,17550000.000,13843500.000,14333000.000,13550900.000,12886450.000,14637300.000,13929200.000,13966719.000,13476021.000,15611466.000,14521026.000,14909715.000,12926475.000,16361730.000,14236830.000,21929500.000,21728200.000,40054500.000,41125200.000 "OSPRay Studio - Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms x Dollar)",LIB,374834835.000,365946190.000,315884900.000,359816800.000,269997000.000,282334000.000,223058000.000,229636000.000,216950200.000,206362650.000,233614800.000,221858400.000,223603809.000,216107034.000,248802060.000,232427286.000,238791540.000,207402045.000,261008550.000,226585170.000,383665600.000,346870400.000,639969000.000,656274600.000 "OSPRay Studio - Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms x Dollar)",LIB,717086630.000,788455540.000,668492500.000,715372400.000,579995000.000,564395000.000,478115000.000,460977000.000,456627500.000,433522100.000,467394500.000,442184200.000,446644224.000,432886506.000,498658212.000,464545614.000,478008060.000,413871495.000,521379630.000,453666150.000,731932900.000,763049000.000,1357247700.000,1312987800.000 "Build2 - Performance / Cost - Time To Compile (sec x Dollar)",LIB,337098.355,583450.450,450843.000,814358.200,426127.000,791115.000,347193.000,653059.000,246903.800,241563.950,438701.900,430059.200,462192.081,460765.422,878167.680,881275.434,597356.610,584666.235,1151601.360,1150420.860,462929.000,762280.400,963836.400,1665312.600 "Timed CPython Compilation - Performance / Cost - Build Configuration: Default (sec x Dollar)",LIB,88320.195,172868.820,125625.000,242808.000,123597.500,245245.000,103114.000,206712.000,67012.450,66799.050,133724.200,132744.500,140503.194,140812.152,281188.128,280715.604,183980.925,184464.930,369260.400,370842.270,115393.700,222564.600,254117.100,492083.400 "Timed CPython Compilation - Performance / Cost - Build Configuration: Released Build, PGO + LTO Optimized (sec x Dollar)",LIB,1372170.935,2741640.470,1917720.900,3803804.400,1939379.000,3885713.000,1608310.000,3220844.000,1085468.800,1080851.600,2171170.400,2181258.400,2287007.073,2282754.357,4604110.290,4602983.502,3005375.925,3005706.465,6038210.280,6036958.950,1787806.300,3545722.600,3951786.000,7940130.600 "Timed Gem5 Compilation - Performance / Cost - Time To Compile (sec x Dollar)",LIB,976831.435,1638814.700,1319397.500,2173815.000,1226101.500,2098655.000,983367.000,1704219.000,745037.600,729279.950,1313380.000,1302438.400,1370010.642,1353681.303,2471518.608,2450436.768,1727213.160,1669687.395,3236553.240,3193417.770,1376989.600,2237419.000,2734155.000,4745884.200 "Timed Mesa Compilation - Performance / Cost - Time To Compile (sec x Dollar)",LIB,135880.420,236382.890,185938.400,329867.800,174622.500,324389.000,145062.500,269929.000,97780.850,95477.100,177985.300,174687.300,188909.643,186901.416,359954.244,359772.504,245189.850,240550.485,478102.500,470759.790,187849.500,318310.200,399990.300,692085.000 "Timed Node.js Compilation - Performance / Cost - Time To Compile (sec x Dollar)",LIB,1190512.175,1583633.410,1361614.200,1893701.400,1210625.000,1757730.000,976954.000,1430451.000,832347.300,806802.350,1134027.000,1108904.000,1210379.313,1202355.492,1822088.892,1811039.100,1457043.930,1381916.910,2325773.880,2252724.540,1704821.900,2179151.800,3316822.200,4488967.800 "Timed Wasmer Compilation - Performance / Cost - Time To Compile (sec x Dollar)",LIB,239370.015,476017.850,348507.200,688103.400,343850.000,690469.000,273240.000,553597.000,177262.650,175909.500,355631.100,355029.700,364370.526,365070.225,740099.802,742662.336,477547.665,476981.025,970205.730,978445.620,289201.000,570215.800,628036.500,1246862.400 "PyPerformance - Performance / Cost - Benchmark: crypto_pyaes (Milliseconds x Dollar)",LIB,477420.500,947568.000,676700.000,1315880.000,669500.000,1365000.000,566500.000,1133000.000,371995.000,366175.000,742050.000,724590.000,790569.000,788751.600,1573868.400,1586590.200,1041201.000,1031757.000,2127261.000,2113095.000,634400.000,1268800.000,1419000.000,2863800.000 "PyPerformance - Performance / Cost - Benchmark: django_template (Milliseconds x Dollar)",LIB,191176.000,383391.000,267330.000,533320.000,274300.000,543400.000,231550.000,463100.000,151805.000,151805.000,302640.000,303610.000,327132.000,327132.000,650629.200,648811.800,428521.500,430882.500,852321.000,854682.000,254980.000,511180.000,571470.000,1142940.000 "PyPerformance - Performance / Cost - Benchmark: json_loads (Milliseconds x Dollar)",LIB,101822.000,202605.000,142710.000,288100.000,146250.000,289900.000,122650.000,247500.000,68870.000,68870.000,137740.000,138710.000,148118.100,148118.100,299871.000,298053.600,195963.000,197143.500,389565.000,391926.000,130540.000,261080.000,291540.000,583080.000 "PyPerformance - Performance / Cost - Benchmark: regex_compile (Milliseconds x Dollar)",LIB,742885.000,1485770.000,1045200.000,2090400.000,1066000.000,2119000.000,896500.000,1804000.000,483060.000,484030.000,968060.000,968060.000,1045005.000,1035918.000,2071836.000,2090010.000,1369380.000,1369380.000,2738760.000,2762370.000,976000.000,1952000.000,2180100.000,4360200.000 "Liquid-DSP - Performance / Cost - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s/Dollar)",HIB,357266.603,187606.673,237552.239,119024.876,244615.385,122928.205,305333.333,151903.030,513388.316,546268.041,269381.443,273195.876,255229.082,254011.225,127511.830,127207.366,192189.750,193502.753,96656.784,96632.783,257103.825,145106.557,120346.253,65749.354 "Liquid-DSP - Performance / Cost - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s/Dollar)",HIB,389611.806,354783.446,384781.094,237664.179,432369.231,245153.846,517260.606,303454.545,527429.553,573546.392,506920.962,542498.282,478676.498,507640.952,253888.339,254506.438,343456.163,385220.952,193341.804,192794.014,214672.131,244762.295,124935.401,113567.183 "Liquid-DSP - Performance / Cost - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s/Dollar)",HIB,393833.815,387946.744,406044.776,381039.801,466661.538,430297.436,538860.606,508848.485,532274.914,578577.320,520639.175,572914.089,488144.235,534188.034,470230.366,507688.639,438356.629,523752.647,340889.454,385727.799,218338.798,216136.612,115609.819,119361.757 "Liquid-DSP - Performance / Cost - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s/Dollar)",HIB,416913.699,394767.405,415134.328,401781.095,475871.795,465164.103,552806.061,532081.818,562171.821,609807.560,526127.148,583567.010,496599.538,544532.482,479457.834,533529.584,439937.879,520141.183,437710.010,516913.737,230404.372,223133.880,121074.935,115130.491 "srsRAN - Performance / Cost - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s/Dollar)",HIB,0.03037536,0.01525505,0.02179104,0.01082836,0.02112308,0.01061538,0.02520000,0.01257273,0.04000000,0.03977320,0.02002062,0.01980412,0.01849895,0.01859800,0.00924397,0.00928249,0.01411266,0.01411266,0.00699704,0.00704363,0.02072131,0.01026230,0.00915504,0.00450000 "srsRAN - Performance / Cost - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s/Dollar)",HIB,0.03193455,0.01581328,0.02277612,0.01132836,0.02196923,0.01106154,0.02621818,0.01311818,0.04150515,0.04144330,0.02069072,0.02071134,0.01926929,0.01932431,0.00957412,0.00965665,0.01463787,0.01457857,0.00733587,0.00733164,0.02403279,0.01205738,0.01103101,0.00546124 "srsRAN - Performance / Cost - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s/Dollar)",HIB,0.02829644,0.01419634,0.02020896,0.01004478,0.01970769,0.00988462,0.02360000,0.01167273,0.03810309,0.03797938,0.01889691,0.01889691,0.01765159,0.01770661,0.00880929,0.00878178,0.01342651,0.01341804,0.00671749,0.00669632,0.02191803,0.01084426,0.00854264,0.00467829 "srsRAN - Performance / Cost - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s/Dollar)",HIB,0.03004812,0.01490857,0.02138806,0.01061194,0.02089231,0.01046154,0.02480000,0.01245455,0.04000000,0.03973196,0.01993814,0.01993814,0.01863101,0.01860900,0.00927149,0.00929350,0.01407878,0.01409572,0.00703515,0.00706057,0.02250820,0.01138525,0.01048062,0.00487209 "srsRAN - Performance / Cost - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s/Dollar)",HIB,0.02660250,0.01338787,0.01902985,0.00953731,0.01870769,0.00936923,0.02212727,0.01108182,0.03358763,0.03352577,0.01676289,0.01673196,0.01561571,0.01558270,0.00779685,0.00775834,0.01180856,0.01184244,0.00590004,0.00587886,0.02000000,0.01008197,0.00876744,0.00431395 "srsRAN - Performance / Cost - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s/Dollar)",HIB,0.01310876,0.00655438,0.00937313,0.00466418,0.00916923,0.00457692,0.01087273,0.00544545,0.02265979,0.02268041,0.01131959,0.01132990,0.01055354,0.01055354,0.00513921,0.00526026,0.00781025,0.00800508,0.00401948,0.00399831,0.01278689,0.00634426,0.00562791,0.00276744 "srsRAN - Performance / Cost - Test: OFDM_Test (Samples / Second/Dollar)",HIB,28501.765,14215.592,20083.156,10186.070,20016.410,9806.154,23412.121,11849.495,39470.790,39491.409,19553.265,19635.739,18110.121,18355.893,9170.610,9033.051,13722.999,13658.311,6718.904,6936.326,23469.945,11743.169,10483.204,5277.778 "OpenSSL - Performance / Cost - Algorithm: RSA4096 (sign/s/Dollar)",HIB,1.617,1.618,1.882,1.866,2.044,2.040,2.502,2.466,2.009,2.072,2.008,2.073,1.930,1.931,1.920,1.931,1.881,2.194,1.886,2.177,1.261,1.315,0.656,0.674 "OpenSSL - Performance / Cost - Algorithm: RSA4096 (verify/s/Dollar)",HIB,105.280,105.244,122.969,121.913,133.489,132.982,164.001,161.898,130.528,134.983,130.433,134.302,125.608,125.627,125.603,125.608,123.984,143.132,124.359,142.721,85.155,87.542,45.619,45.751 "OpenSSL - Performance / Cost - Algorithm: SHA256 (byte/s/Dollar)",HIB,8758294.777,8755920.050,9732240.982,9598256.485,11439730.703,11445933.933,13457078.291,13314219.272,11910133.573,12274212.081,11916914.163,12192419.233,11410912.814,11416960.516,11302302.070,11298488.360,10671702.212,12127358.751,10652743.492,12049971.140,4123121.254,4214521.965,2212316.518,2219659.760 "Node.js Express HTTP Load Test - Performance / Cost (Reqs/sec/Dollar)",HIB,1.149,0.508,0.812,0.375,0.806,0.378,0.941,0.445,1.764,1.762,0.840,0.827,0.863,0.868,0.410,0.413,0.663,0.659,0.318,0.317,1.161,0.556,0.517,0.242 "PHPBench - Performance / Cost - PHP Benchmark Suite (Score/Dollar)",HIB,152.804,77.222,109.037,54.517,108.045,53.204,126.738,63.291,204.132,205.441,102.688,102.594,94.161,94.872,48.213,46.755,71.467,71.445,35.880,35.866,140.903,71.024,63.313,31.665 "ebizzy - Performance / Cost (Records/s/Dollar)",HIB,388.186,276.061,357.301,235.181,360.830,235.465,470.057,284.561,548.314,667.647,374.834,431.518,441.641,524.827,296.791,320.290,363.168,395.643,222.377,242.738,159.584,134.417,86.712,72.579 "simdjson - Performance / Cost - Throughput Test: PartialTweets (GB/s/Dollar)",HIB,0.00077960,0.00039076,0.00055821,0.00027761,0.00054769,0.00027231,0.00064727,0.00032182,0.00135464,0.00135258,0.00067938,0.00067216,0.00062727,0.00062947,0.00031363,0.00031474,0.00048030,0.00047946,0.00024015,0.00024015,0.00082459,0.00041230,0.00036744,0.00018333 "simdjson - Performance / Cost - Throughput Test: LargeRandom (GB/s/Dollar)",HIB,0.00021559,0.00010780,0.00015373,0.00007687,0.00015077,0.00007538,0.00017818,0.00008909,0.00029897,0.00029897,0.00014948,0.00014948,0.00013976,0.00013866,0.00006988,0.00006988,0.00010589,0.00010589,0.00005294,0.00005294,0.00016721,0.00008197,0.00007519,0.00003721 "simdjson - Performance / Cost - Throughput Test: Kostya (GB/s/Dollar)",HIB,0.00062368,0.00031184,0.00044478,0.00022239,0.00043692,0.00021846,0.00051636,0.00025818,0.00097938,0.00097732,0.00048969,0.00048969,0.00045890,0.00045890,0.00022835,0.00022890,0.00034731,0.00034816,0.00017366,0.00017408,0.00050164,0.00024672,0.00022558,0.00010969 "simdjson - Performance / Cost - Throughput Test: DistinctUserID (GB/s/Dollar)",HIB,0.00092974,0.00046583,0.00066418,0.00033209,0.00065231,0.00032615,0.00077091,0.00038545,0.00163299,0.00163299,0.00081856,0.00081959,0.00076483,0.00076043,0.00038076,0.00038131,0.00057772,0.00057857,0.00029055,0.00029098,0.00099016,0.00050000,0.00044109,0.00022054 "simdjson - Performance / Cost - Throughput Test: TopTweet (GB/s/Dollar)",HIB,0.00089894,0.00044851,0.00064030,0.00032015,0.00062154,0.00031231,0.00074182,0.00037091,0.00155258,0.00156907,0.00078660,0.00078763,0.00073181,0.00072631,0.00036646,0.00036591,0.00055654,0.00055485,0.00027488,0.00027827,0.00100000,0.00050000,0.00044109,0.00022209 "PyBench - Performance / Cost - Total For Average Test Times (Milliseconds x Dollar)",LIB,4680695.000,9215930.000,6492300.000,12998000.000,6617000.000,13208000.000,5588000.000,11198000.000,3598700.000,3555050.000,7119800.000,7178000.000,7714863.000,7714863.000,15338856.000,15375204.000,10093275.000,10199520.000,20399040.000,20351820.000,5996300.000,12029200.000,13441800.000,27141600.000 "PJSIP - Performance / Cost - Method: OPTIONS, Stateless (Responses/sec/Dollar)",HIB,8.244,2.834,11.103,5.098,11.128,5.109,12.947,6.103,10.642,10.840,4.512,4.134,9.875,9.886,4.603,4.663,7.446,7.431,3.674,3.516,7.312,3.591,3.368,1.669