AMD EPYC 9554 EPYC 9654 Benchmarks Genoa

Benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2211102-PTS-GENOAEXT88
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Timed Code Compilation 4 Tests
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Cryptocurrency Benchmarks, CPU Mining Tests 2 Tests
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Encoding 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 5 Tests
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Programmer / Developer System Benchmarks 4 Tests
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Date
Run
  Test
  Duration
EPYC 9654 2P
October 15 2022
  3 Hours, 46 Minutes
EPYC 9654 2P Repeat
October 15 2022
  2 Hours, 13 Minutes
EPYC 9654 2P - Perf M
October 15 2022
  2 Hours, 16 Minutes
EPYC 9654
October 15 2022
  2 Hours, 19 Minutes
EPYC 9654 Repeat
October 15 2022
  2 Hours, 20 Minutes
EPYC 9654 Power
October 16 2022
  2 Hours, 15 Minutes
9654 Power
October 17 2022
  2 Hours, 5 Minutes
AMD EPYC 75F3 32-Core
October 29 2022
  11 Hours, 39 Minutes
75F32
October 30 2022
  11 Hours, 50 Minutes
9554 TwoP
November 01 2022
  4 Hours, 1 Minute
EPYC 9554
November 03 2022
  1 Hour, 15 Minutes
8380 2p
November 05 2022
  6 Hours, 45 Minutes
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  4 Hours, 24 Minutes

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AMD EPYC 9554 EPYC 9654 Benchmarks Genoa Benchmarks for a future article. ,,"EPYC 9654 2P","EPYC 9654 2P Repeat","EPYC 9654 2P - Perf M","EPYC 9654","EPYC 9654 Repeat","EPYC 9654 Power","9654 Power","AMD EPYC 75F3 32-Core","75F32","9554 TwoP","EPYC 9554","8380 2p" Processor,,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),2 x AMD EPYC 9654 96-Core @ 3.71GHz (192 Cores / 384 Threads),AMD EPYC 9654 96-Core @ 3.71GHz (96 Cores / 192 Threads),AMD EPYC 9654 96-Core @ 3.71GHz (96 Cores / 192 Threads),AMD EPYC 9654 96-Core @ 3.71GHz (96 Cores / 192 Threads),AMD EPYC 9654 96-Core @ 3.71GHz (96 Cores / 192 Threads),AMD EPYC 75F3 32-Core @ 2.95GHz (32 Cores / 64 Threads),AMD EPYC 75F3 32-Core @ 2.95GHz (32 Cores / 64 Threads),2 x AMD EPYC 9554 64-Core @ 3.76GHz (128 Cores / 256 Threads),AMD EPYC 9554 64-Core @ 3.76GHz (64 Cores / 128 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads) Motherboard,,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 DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) Chipset,,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Starship/Matisse,AMD Starship/Matisse,AMD Device 14a4,AMD Device 14a4,Intel Ice Lake IEH Memory,,1520GB,1520GB,1520GB,768GB,768GB,768GB,768GB,256GB,256GB,1520GB,768GB,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 Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED Monitor,,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI,VE228,VE228,VGA HDMI,VGA HDMI,VE228 Network,,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 Mellanox MT27710,2 x Mellanox MT27710,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,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 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) 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 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 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 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 File-System,,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 ,,"EPYC 9654 2P","EPYC 9654 2P Repeat","EPYC 9654 2P - Perf M","EPYC 9654","EPYC 9654 Repeat","EPYC 9654 Power","9654 Power","AMD EPYC 75F3 32-Core","75F32","9554 TwoP","EPYC 9554","8380 2p" "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,,,,,,,,89790,89690,854630,,416520 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,1279.03,1326.14,1198.78,1258.48,1257.65,1331.08,1332.68,148.12,148.28,1366.71,,654.98 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,,,,,,,,52568.44,52321.47,79908.39,,8958.77 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,836.9886,840.234,763.1827,402.574,400.7293,424.4335,426.3633,98.9738,98.9457,629.9053,,215.8094 "TensorFlow - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec)",HIB,60.45,59.82,55.34,57.61,57.45,60.63,61.12,7.76,7.8,65.82,51.51,32.24 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,441.71,443.93,437.65,530.05,529.62,558.92,557.52,66.93,66.56,494.2,,298.78 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2227.4198,2244.1857,1949.0047,1010.1033,1008.1787,1127.3599,1131.4819,268.728,269.3961,1608.9891,,826.8057 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,,,,,,,,508.45,511.98,4187.21,,3557.26 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,,,,,,,,3864.56,3795.43,591.17,,4737 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,147.32,147.82,145.44,165,164.66,172.75,172.84,22.81,22.61,163.93,,83.01 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,322.23,327.47,320.99,473.4,471.92,495.44,495.35,65.83,65.33,378.96,,291.08 "TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,41,40.06,40.86,51.31,51.6,53.71,53.84,7.41,7.4,50.73,47.62,28.64 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,967.2269,982.4985,858.8745,449.3802,444.9684,497.6848,499.0893,136.3518,136.5358,709.1653,,331.5339 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,,,,,,,,554.99,554.88,3939.46,,2222.77 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,111.54,110.01,108.07,146.3,146.45,150.26,149.71,22.08,21.95,127.49,,80.79 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,475.54,545.59,535.77,834.42,838.94,870.59,866.54,129.35,129.43,645.23,,498.31 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1318.3224,1320.4156,1195.8283,625.932,624.2323,662.79,666.0508,201.3251,200.8362,997.8874,,452.3605 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,663.579,671.4008,616.4604,318.5908,316.9094,337.0033,339.5245,102.8223,102.1985,511.6331,,220.229 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,107.85826,104.23027,112.69451,246.8784,246.82702,237.49597,240.38495,662.50325,664.54696,129.83749,298.96059,365.30704 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,,,,,,,,88.14,100.49,33.95,,15.96 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,,,,,,,,285840,286410,1795800,,909470 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,17.65,17.75,20.11,38.67,38.71,33.63,33.55,106.78,106.73,24.2,,61.97 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,,,,,,,,1493100,1476790,8659890,,4384310 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,22.88,23.28,25.67,48.75,49.15,43.61,43.73,131.98,130.92,32.04,,77.12 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,72.86,72.78,81.91,143.42,143.56,127.45,127.78,417.12,418.91,97.12,,244.02 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,,,,,,,,287340,287340,1631830,,622200 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,7.53,7.47,8.47,15.69,15.43,14,13.73,41.47,41.41,9.93,,23.57 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,1323090,1309354,1176187,652935,653127,737688,739434,247362,247381,945724,527376,363204 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,296.29,286.45,289.65,581.17,580.97,599.98,600.31,113.41,112.33,387.92,,402.14 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,,,,,,,,434.57,432.8,2210.09,,900.61 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,,,,,,,,5593873.2,5591675.77,28081271,,9412669.51 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,10.56,10.46,11.51,20.38,20.83,18.21,18.14,52.15,52.23,13.6,,31.11 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,57.85,59.49,58.76,99.93,100.91,100.8,100.73,20.64,20.52,69.01,,75.88 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,157.71,166.76,168.86,295.82,310.69,316.07,305.7,64.47,65.21,194.59,,249.3 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,,,,,,,,141942.95,141780.31,683986.91,,320154.03 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,153.29,161.41,160.4,360.18,358.82,366.73,367.14,92.21,93.37,219.45,426.56,306.58 "Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,,,,,,,,1399.59,1398.47,6438.59,,2657.99 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,,,,,,,,55423.94,55510.14,250785.92,,85416.53 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,,,,,,,,1432.98,1433.6,6463.85,,2250.31 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,,,,,,,,85344.04,85478.88,366719.77,,213661.33 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,,,,,,,,18586817.03,18679911.5,77897090.19,,43926099.15 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,,,,,,,,140011498.66,139310693.59,576947450.43,,210690160.09 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,,,,,,,,202508.2,202547.6,832532.65,,304766.81 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,,,,,,,,645248.68,648949.28,2643264.33,,958441.04 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,98.0408,97.2856,84.4798,43.0051,42.9884,48.8409,48.8566,24.1673,24.0973,70.2107,,47.7486 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,97.4788,97.6967,84.2018,42.2142,43.1327,49.0518,48.9538,24.2269,24.1165,68.5689,,47.6525 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,,,,,,,,80179.88,80711.89,2370,,64952.62 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,,,,,,,,645080,644780,2560590,,1323260 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,100.41,100.525,108.584,173.494,174.426,157.734,157.455,390.846,393.153,113.862,186.87,228.529 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,39.57,40.61,39.86,76.17,75.61,77.29,76.49,20.11,19.97,46.75,,67.33 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,,,,,,,,31770,31760,122790,,63270 "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 500 (Transactions/min)",HIB,,,,,,,,,,26791,,102799 "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 500 (New Orders/min)",HIB,,,,,,,,,,11578,,44267 "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 250 (New Orders/min)",HIB,,,,,,,,,,12322,,46470 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,,,,,,,,25865.2,25841.1,97285.7,,40987 "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 250 (Transactions/min)",HIB,,,,,,,,,,28707,,107938 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,,,,,,,,14657098.15,14724434.09,7907313.68,,4007912.58 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,,,,,,,,1076.68,1078.69,2624.53,,3857.49 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,108.56,108.94,108.71,227.88,225.06,214.98,229,65.28,65.53,138.44,,209.5 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,940574,930946,908312,677342,673198,717647,719579,280572,277568,776447,565650,403978 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,,,,,,,,24698.1,24506.8,82027.7,,26231.6 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,,,,,,,,6643.95,6634.24,20141.24,,10739.63 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,21.51,22.48,22.29,52.44,52.44,53.4,52.97,18.53,18.5,29.83,,54.51 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,,,,,,,,6533513.16,6558615.43,19242578.69,,12534447.06 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,62.44,62.69,63.05,130.47,144.38,145.11,144.15,57.67,58.27,87.38,,167.05 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,19.919399,19.631093,23.083579,29.738615,28.791715,24.509173,25.756809,56.44901,56.24677,20.906018,29.848701,42.117751 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,124.51,126.01,131.11,68.04,66.59,61.49,61.51,68.23,68.47,79.68,49.82,82.15 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,9.866,10.0306,9.8478,9.8059,9.77,,25.4781,25.5925,10.8598,,12.8394 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,101.3021,99.6372,101.5028,101.9321,102.3074,,39.2348,39.0595,92.0024,,77.83 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,75.6,76.15,82.52,103.31,104.23,90.53,90.38,197.46,197.96,87.86,117.93,146.63 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,,,,,,,,2573853.71,2708005.03,3307879.37,,1294371.34 "Timed Node.js Compilation - Time To Compile (sec)",LIB,95.541,95.425,98.302,122.911,122.749,117.06,117.309,230.153,230.015,99.523,133.459,170.992 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,5.0334,5.2709,5.2151,5.212,5.0333,,11.716,11.7042,5.3104,,8.3167 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,,198.4991,189.5308,191.6061,191.7217,198.5208,,85.317,85.4021,188.1361,,120.0709 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,16.87,17.06,18.64,22.99,22.73,20.45,20.25,38.53,38.96,17.27,23.19,33.59 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,27.2902,29.4073,28.104,28.2158,26.6697,,61.3288,61.4289,38.2116,,51.4766 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,,36.633,33.9949,35.5748,35.4341,37.4876,,16.3037,16.2774,26.165,,19.4232 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,27.2133,28.9745,28.0193,28.0928,26.8063,,61.4394,61.2586,38.3383,,50.7774 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,36.7364,34.5036,35.6818,35.5886,37.2968,,16.2744,16.3224,26.0786,,19.6909 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,10.154,10.13,10.164,6.516,6.54,6.47,6.354,14.505,14.462,7.996,6.36,10.499 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,4.925,4.947,4.983,3.969,3.959,3.872,3.917,7.151,7.118,4.389,3.3,5.324 "x264 - Video Input: Bosphorus 4K (FPS)",HIB,104.77,104.56,65.37,65.8,109.74,65.5,66.6,59.01,73.97,97.7,58.79,51.8 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,19.725,19.658,20.486,24.519,24.63,23.195,23.248,41.343,41.401,20.122,25.377,30.556 "spaCy - Model: en_core_web_trf (tokens/sec)",HIB,2515,2461,2585,3234,3307,3186,3314,1894,1873,2118,,3868 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,5.1748,5.4359,5.2236,5.2613,5.1375,,10.467,10.5574,6.002,,9.9106 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,,193.0775,183.7787,191.3244,189.9258,194.4994,,95.4844,94.6742,166.3935,,100.8229 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,,,,,,,,4386.9,2988.41,58240,,31390 "TensorFlow - Device: CPU - Batch Size: 512 - Model: VGG-16 (images/sec)",HIB,122.13,123.2,110.75,69.57,69.54,73.65,73.86,8.39,8.39,97.32,,37.04 "TensorFlow - Device: CPU - Batch Size: 256 - Model: VGG-16 (images/sec)",HIB,111.05,113.24,104.39,66.42,66.49,70.93,70.84,8.32,8.33,92.72,,35.78 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,,,,,,,,5323.29,69090,9939.68,,42780 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,1672.89,1669.87,1587.05,1373.02,1369.54,1467.71,1461.6,155.16,154.55,1649.63,,701.27 "TensorFlow - Device: CPU - Batch Size: 64 - Model: VGG-16 (images/sec)",HIB,81.58,79.43,75.72,61.53,61.54,65.62,65.84,7.99,8,79.07,54.32,33.85 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,208.98,208.25,216.62,120.27,121.04,113.86,111.68,143.06,141.83,165.5,108.81,144.33 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,114.3987,113.9772,125.4096,119.0525,119.5359,112.8884,112.4239,161.2269,161.3526,101.4258,,185.2793 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,5.2274,5.2827,5.2064,5.1744,5.2442,,6.9821,6.9796,3.921,,4.4386 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,,191.2068,189.2062,191.9953,193.1856,190.6164,,143.1656,143.2164,254.8952,,224.8469 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,11.3456,11.7502,11.4651,11.4062,11.2064,,19.7391,19.844,11.4,,19.139 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,88.0745,85.044,87.1775,87.6256,89.1886,,50.6446,50.378,87.6574,,52.2285 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,964.8329,969.4243,1132.3775,1115.4963,1115.9013,971.9156,970.5421,658.3907,660.7807,911.1053,,837.5412 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,974.0153,966.6015,1131.6891,1110.0037,1112.4846,972.4797,972.1192,658.9745,660.9895,909.1243,,836.9029 "Apache HBase - Rows: 10000 - Test: Random Read - Clients: 256 (us - Latency)",LIB,270,,,,,,,377,445,,, "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,33.863,33.335,33.419,33.124,33.399,32.438,32.76,52.216,52.07,32.41,34.607,44.984 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,133.96745,118.67648,141.1001,119.71925,131.63939,113.75167,111.27604,140.04797,138.87709,116.48849,103.94225,165.08078 "SMHasher - Hash: t1ha0_aes_avx2 x86_64 (MiB/sec)",HIB,102425.27,101829.9,102396.46,102376.03,102315.37,102400.95,102394,,,80341.36,80231.04,64712.67 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,24.847602,25.539527,27.078221,23.919399,26.389312,23.774357,25.707768,27.369771,28.369974,22.631593,23.813094,34.432062 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,,,,,,,,160435.98,165666.65,241171.38,,197789.23 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,43.0112,42.6258,49.1409,47.4746,47.5377,42.5217,42.3645,59.4734,59.3301,39.7045,,48.3411 "Apache HBase - Rows: 10000 - Test: Increment - Clients: 1 (us - Latency)",LIB,181,,,,,,,237,267,,, "libavif avifenc - Encoder Speed: 6 (sec)",LIB,2.422,2.415,2.422,2.29,2.321,2.311,2.297,3.265,3.304,2.404,2.342,3.365 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,5.323,5.21,5.241,5.161,5.226,5.083,5.227,6.536,6.651,5.316,5.247,7.447 "Apache HBase - Rows: 10000 - Test: Increment - Clients: 1 (Rows/sec)",HIB,5319,,,,,,,4097,3631,,, "Apache HBase - Rows: 10000 - Test: Random Read - Clients: 256 (Rows/sec)",HIB,388592,,,,,,,298877,266084,,, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,144.0459,142.5791,155.2956,150.6057,151.3705,142.1002,141.0342,155.2589,156.1934,124.8089,,181.3562 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.322,4.288,4.244,4.124,4.427,4.078,4.099,4.725,4.945,4.25,4.106,5.806 "JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.8,0.79,0.8,0.82,0.82,0.82,0.81,0.75,0.75,0.82,0.81,0.58 "Apache HBase - Rows: 1000000 - Test: Random Read - Clients: 1 (us - Latency)",LIB,55,,,,,,,54,76,,, "OpenFOAM - Input: motorBike - Execution Time (sec)",LIB,,5.98052,5.90181,4.301,4.35122,4.352,,4.66741,4.66676,5.92274,, "Apache HBase - Rows: 1000000 - Test: Random Read - Clients: 1 (Rows/sec)",HIB,17925,,,,,,,18216,13108,,, "x265 - Video Input: Bosphorus 4K (FPS)",HIB,22.94,24.3,22.86,31.16,31.32,31.57,31.33,28.64,28.73,23.42,31.73,24.77 "JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,275.97,275.75,284.19,317.83,316.47,318.9,320.16,332.73,320.16,278.06,341.13,246.91 "Apache HBase - Rows: 10000 - Test: Random Write - Clients: 256 (Rows/sec)",HIB,,,,,,,,367796,507877,,, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,72.6323,72.544,80.0948,76.6433,76.8488,72.331,72.0102,79.3471,79.53,64.009,,88.3012 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,,,,,,,,8704140.32,8711498.67,8962692.12,,6498292.38 "JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.73,0.7,0.73,0.77,0.73,0.73,0.74,0.69,0.71,0.69,0.75,0.56 "x264 - Video Input: Bosphorus 1080p (FPS)",HIB,,265.96,200.65,211.7,265.77,221.25,,205.05,217.75,262.79,,193.65 "JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,48.53,48.51,49.02,49.78,49.83,49.71,50.7,47.4,46.7,48.88,50.48,36.94 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,,72.76,70.5,91.88,91.8,93.54,,84.07,84.18,69.28,,74.49 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,,,,,,,,926.64,925.07,904.2,,693.4 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,99.0265,97.5018,111.4821,106.5518,107.668,96.2264,95.9686,117.105,117.0188,90.0851,,120.3456 "Timed Mesa Compilation - Time To Compile (sec)",LIB,20.089,20.131,20.01,20.75,20.828,20.398,20.496,26.151,26.319,20.195,20.721,26.702 "Apache HBase - Rows: 10000 - Test: Random Read - Clients: 1 (us - Latency)",LIB,142,,,,,,,186,189,,, "libavif avifenc - Encoder Speed: 2 (sec)",LIB,34.654,34.526,35.074,33.75,33.835,33.7,33.771,40.949,41.024,34.94,33.475,44.407 "Apache HBase - Rows: 10000 - Test: Random Read - Clients: 1 (Rows/sec)",HIB,6698,,,,,,,5189,5071,,, "Apache HBase - Rows: 10000 - Test: Increment - Clients: 256 (us - Latency)",LIB,864,,,,,,,981,1139,,, "OpenRadioss - Model: Bumper Beam (sec)",LIB,76.4,75.76,82.83,73.39,77.93,70.82,69.93,91.01,92.1,72.64,70.48,86.3 "FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,,,,,,,,,,133.931322421,,175.804151458 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,,,,,,,,,,56.56,,43.09 "JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,9.23,9.05,9.28,9.57,9.58,9.62,9.64,9.51,9.33,9.29,9.71,7.42 "Apache HBase - Rows: 1000000 - Test: Increment - Clients: 1 (us - Latency)",LIB,69,,,,,,,74,90,,, "SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,20135.2,19789.96,20135.14,20134.69,20135.19,20135.17,20135.1,,,15798.76,15799.09,20601.61 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,63.562,63.108,63.078,62.299,62.274,61.731,62.037,77.929,77.848,62.262,61.171,79.667 "JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,9.57,9.49,9.68,9.95,9.94,9.95,10.05,10.02,9.77,9.72,10.08,7.74 "JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,9.29,9.32,9.29,9.68,9.68,9.7,9.77,9.59,9.45,9.53,9.79,7.52 "Apache HBase - Rows: 1000000 - Test: Increment - Clients: 1 (Rows/sec)",HIB,14345,,,,,,,13341,11071,,, "JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,9.48,9.47,9.62,9.9,9.87,9.9,9.98,9.86,9.68,9.64,10.01,7.74 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,,,,,,,,,,135.461286189,,174.66 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,,,,,,,,,,55.92,,43.37 "FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,,,,,,,,,,90.87735054,,116.41 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,,,,,,,,,,27.78,,21.69 "SMHasher - Hash: wyhash (MiB/sec)",HIB,31218.05,31247.36,31248.91,31198.52,31201.2,31197.92,31245.47,,,24475.93,24509.44,27859.54 "SMHasher - Hash: fasthash32 (MiB/sec)",HIB,8803.42,8803.35,8803.4,8803.52,8775.9,8802.19,8803.73,,,6903.87,6907.82,8453.99 "SMHasher - Hash: SHA3-256 (MiB/sec)",HIB,216.01,216.02,216.15,216.08,211.82,216.13,216.08,,,169.55,169.57,208.31 "SMHasher - Hash: MeowHash x86_64 AES-NI (MiB/sec)",HIB,54190.54,54192.22,54144.85,54220.23,54212.96,54202.27,54175.08,,,42531.56,42535.23,45558.18 "SMHasher - Hash: Spooky32 (MiB/sec)",HIB,20577.15,20580.28,20576.77,20581.55,20582.57,20582.79,20577.01,,,16145.69,16149.3,17883.71 "SMHasher - Hash: FarmHash128 (MiB/sec)",HIB,21167.17,21167.48,21167.29,21167.64,21166.21,21168.01,21167.11,,,16608.92,16609.29,19206.25 "SMHasher - Hash: FarmHash32 x86_64 AVX (MiB/sec)",HIB,39795.99,39794.95,39795.43,39796.13,39795.04,39795.02,39794.11,,,31226.87,31226.57,32568.14 "Apache HBase - Rows: 10000 - Test: Random Read - Clients: 500 (us - Latency)",LIB,468,,,,,,,529,589,,, "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 100 (New Orders/min)",HIB,,,,,,,,,,37109,,46690 "HammerDB - MariaDB - Virtual Users: 64 - Warehouses: 100 (Transactions/min)",HIB,,,,,,,,,,86231,,108494 "spaCy - Model: en_core_web_lg (tokens/sec)",HIB,13481,13467,13415,13551,13517,13527,13526,13654,13644,13540,,11140 "Apache HBase - Rows: 10000 - Test: Random Read - Clients: 500 (Rows/sec)",HIB,339482,,,,,,,306869,278941,,, "FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,,,,,,,,,,154.70927612,,187.34 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,,,,,,,,,,49.11,,40.56 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,,,,,,,,,,48.96,,40.44 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,,,,,,,,,,154.245416515,,186.74 "FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,,,,,,,,,,22.885944059,,27.68 "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,,,,,,,,,,220.66,,182.45 "FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,,,,,,,,,,198.928088198,,239.53 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,,,,,,,,,,12.69,,10.54 "Apache HBase - Rows: 10000 - Test: Increment - Clients: 256 (Rows/sec)",HIB,155246,,,,,,,141825,129941,,, "Apache HBase - Rows: 10000 - Test: Increment - Clients: 500 (us - Latency)",LIB,1599,,,,,,,1821,1702,,, "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,,,,,,,,,,127.92,,114.06 "FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,,,,,,,,,,39.477733078,,44.27 "ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,,,,,,,,402.41,401.99,,,414.29 "Apache HBase - Rows: 10000 - Test: Random Write - Clients: 1 (us - Latency)",LIB,36,,,,,,,34,34,,, "ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,,,,,,,,387.02,383.67,,,400.65 "Apache HBase - Rows: 10000 - Test: Random Write - Clients: 256 (us - Latency)",LIB,,,,,,,,1953,1871,,, "Apache HBase - Rows: 10000 - Test: Random Write - Clients: 1 (Rows/sec)",HIB,25907,,,,,,,26954,27027,,, "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,,,,,,,,67389.93,67158.17,65946.55,,64705.57 "ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,,,,,,,,376.51,377.33,,,383.28 "Apache HBase - Rows: 1000000 - Test: Increment - Clients: 256 (us - Latency)",LIB,1993,,,,,,,2062,2026,,, "Apache HBase - Rows: 1000000 - Test: Increment - Clients: 256 (Rows/sec)",HIB,127105,,,,,,,123070,125256,,, "Apache HBase - Rows: 10000 - Test: Increment - Clients: 500 (Rows/sec)",HIB,149429,,,,,,,154170,153938,,, "Apache HBase - Rows: 1000000 - Test: Increment - Clients: 500 (us - Latency)",LIB,,,,,,,,4352,4409,,, "Apache HBase - Rows: 1000000 - Test: Increment - Clients: 500 (Rows/sec)",HIB,,,,,,,,113983,112527,,, "Apache HBase - Rows: 1000000 - Test: Scan - Clients: 256 (Rows/sec)",HIB,,,,,,,,,58887584,,, "Apache HBase - Rows: 1000000 - Test: Scan - Clients: 1 (Rows/sec)",HIB,,,,,,,,,131234,,, "Apache HBase - Rows: 10000 - Test: Scan - Clients: 1 (Rows/sec)",HIB,,,,,,,,,23753,,, "Apache HBase - Rows: 1000000 - Test: Scan - Clients: 500 (Rows/sec)",HIB,,,,,,,,,,,, "Apache HBase - Rows: 10000 - Test: Scan - Clients: 500 (Rows/sec)",HIB,,,,,,,,,,,, "Apache HBase - Rows: 10000 - Test: Scan - Clients: 256 (Rows/sec)",HIB,,,,,,,,,,,, "ClickHouse - (Queries/min, Geo Mean)",HIB,,,,,,,,,,,, "SMHasher - Hash: MeowHash x86_64 AES-NI (cycles/hash)",LIB,45.11,45.11,45.114,45.11,45.112,45.112,45.106,,,57.74,57.732,51.419 "SMHasher - Hash: t1ha0_aes_avx2 x86_64 (cycles/hash)",LIB,20.472,20.472,20.472,20.472,20.472,20.477,20.472,,,26.258,26.258,25.687 "SMHasher - Hash: FarmHash32 x86_64 AVX (cycles/hash)",LIB,26.387,26.387,26.387,26.387,26.387,26.387,26.387,,,33.661,33.656,31.909 "SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,20.097,20.097,20.097,20.097,20.097,20.097,20.097,,,26.81,25.759,25.897 "SMHasher - Hash: FarmHash128 (cycles/hash)",LIB,47.828,47.825,47.829,47.825,47.825,47.825,47.824,,,61.345,61.351,50.218 "SMHasher - Hash: fasthash32 (cycles/hash)",LIB,22.076,22.077,22.078,22.077,22.077,22.08,22.079,,,28.349,28.329,28.831 "SMHasher - Hash: Spooky32 (cycles/hash)",LIB,26.855,27.617,26.662,26.703,26.663,26.683,27.617,,,34.264,34.268,37.699 "SMHasher - Hash: SHA3-256 (cycles/hash)",LIB,1829.798,1829.043,1829.207,1829.749,1871.004,1830.336,1829.028,,,2331.753,2331.575,1876.363 "SMHasher - Hash: wyhash (cycles/hash)",LIB,13.988,13.968,14.215,13.968,13.968,13.968,13.984,,,18.19,18.085,19.627