Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2209087-PTS-12600KSE38
12600k sept
Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 via the Phoronix Test Suite.
,,"A","B","C"
Processor,,Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads),Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads),Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads)
Motherboard,,ASUS PRIME Z690-P WIFI D4 (0605 BIOS),ASUS PRIME Z690-P WIFI D4 (0605 BIOS),ASUS PRIME Z690-P WIFI D4 (0605 BIOS)
Chipset,,Intel Device 7aa7,Intel Device 7aa7,Intel Device 7aa7
Memory,,16GB,16GB,16GB
Disk,,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0
Graphics,,ASUS Intel ADL-S GT1 15GB (1450MHz),ASUS Intel ADL-S GT1 15GB (1450MHz),ASUS Intel ADL-S GT1 15GB (1450MHz)
Audio,,Realtek ALC897,Realtek ALC897,Realtek ALC897
Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U
Network,,Realtek RTL8125 2.5GbE + Intel Device 7af0,Realtek RTL8125 2.5GbE + Intel Device 7af0,Realtek RTL8125 2.5GbE + Intel Device 7af0
OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.19.0-051900rc6daily20220716-generic (x86_64),5.19.0-051900rc6daily20220716-generic (x86_64),5.19.0-051900rc6daily20220716-generic (x86_64)
Desktop,,GNOME Shell 42.1,GNOME Shell 42.1,GNOME Shell 42.1
Display Server,,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland
OpenGL,,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1
OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0
Vulkan,,1.2.204,1.2.204,1.2.204
Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0
File-System,,ext4,ext4,ext4
Screen Resolution,,3840x2160,3840x2160,3840x2160
,,"A","B","C"
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,523.5,527.8,521.2
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,541.2,537.6,534.7
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,581.7,578.8,578.7
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,594.7,590.7,587.8
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,189.4,189.3,188.4
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,2.28,2.28,2.28
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,1.74,1.74,1.74
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,1.74,1.75,1.74
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,205.21,206.79,204.23
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,10.07,10.06,10.06
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,462.34,463.7,463.87
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,278.74,192.88,193.22
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,31.28,31.37,31.43
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,754.73,742.81,741.97
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,361.68,359.57,360.51
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,5175.16,5129.86,5136.99
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,13292.83,13347.46,13357.94
"Natron - Input: Spaceship (FPS)",HIB,3.6,3.6,3.5
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,223.9,222.6,221.4
"Unvanquished - Resolution: 1920 x 1200 - Effects Quality: High (FPS)",HIB,204.4,205.6,203.9
"Unvanquished - Resolution: 2560 x 1440 - Effects Quality: High (FPS)",HIB,137.2,136.7,136.5
"Unvanquished - Resolution: 3840 x 2160 - Effects Quality: High (FPS)",HIB,66.4,66.4,66.4
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,114,114.1,114
"Unvanquished - Resolution: 1920 x 1200 - Effects Quality: Ultra (FPS)",HIB,105.7,105.7,105.8
"Unvanquished - Resolution: 2560 x 1440 - Effects Quality: Ultra (FPS)",HIB,73.8,73.7,73.7
"Unvanquished - Resolution: 3840 x 2160 - Effects Quality: Ultra (FPS)",HIB,39.4,39.4,39.3
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Medium (FPS)",HIB,267.8,267.1,263.3
"Unvanquished - Resolution: 1920 x 1200 - Effects Quality: Medium (FPS)",HIB,243.7,245.2,244.7
"Unvanquished - Resolution: 2560 x 1440 - Effects Quality: Medium (FPS)",HIB,163.7,163,162.8
"Unvanquished - Resolution: 3840 x 2160 - Effects Quality: Medium (FPS)",HIB,79.5,79.6,79.6
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,2.03,2.016,2.02
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,43.531,43.712,43.963
"SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 4K (FPS)",HIB,85.519,86.528,88.558
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,121.731,127.041,125.217
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,6.359,6.359,6.344
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,119.545,120.54,118.967
"SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 1080p (FPS)",HIB,260.876,260.782,265.936
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,441.12,446.137,457.513
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,567,573,575
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,1171,1210,1217
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,166,168,167
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,270,272,272
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1148,1165,1163
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,316,319,317
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1190,1239,1242
"Aircrack-ng - (k/s)",HIB,33031.898,33109.836,33749.547
"C-Blosc - Test: blosclz shuffle (MB/s)",HIB,16672.5,16992.7,17013.4
"C-Blosc - Test: blosclz bitshuffle (MB/s)",HIB,8941.5,9258,9257.1
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,75966,77477,77380
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,61355,61210,59506
"ASTC Encoder - Preset: Fast (MT/s)",HIB,160.1335,160.0289,160.0589
"ASTC Encoder - Preset: Medium (MT/s)",HIB,60.8457,60.8658,60.8886
"ASTC Encoder - Preset: Thorough (MT/s)",HIB,7.943,7.9426,7.9396
"ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,0.7483,0.7482,0.7486
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,5.196,5.207,5.227
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,5.825,5.695,5.862
"Facebook RocksDB - Test: Random Fill (Op/s)",HIB,1011444,995286,987274
"Facebook RocksDB - Test: Random Read (Op/s)",HIB,79117222,77772723,79085341
"Facebook RocksDB - Test: Update Random (Op/s)",HIB,577444,572446,585584
"Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,1175330,1163406,1195182
"Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,14631,14659,14636
"Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,2121137,2118766,2215141
"Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,2080793,2081251,2079557
"Dragonflydb - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,4219269.32,4209125.68,4206479.32
"Dragonflydb - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,4524509.15,4489630.35,4460778.29
"Dragonflydb - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,4159557.48,4136083.87,4107472.56
"Dragonflydb - Clients: 200 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3994130.34,3972323.46,3982880.38
"Dragonflydb - Clients: 200 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,4208682.77,4208868.69,4176068.34
"Dragonflydb - Clients: 200 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,3881918.88,3825141.56,3864893.24
"memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,2835321.53,2555526.92,2476859.81
"memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2828630.76,2696467.92,2468655.32
"memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,2540352.24,2336486.4,2415948.89
"memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,2582100.75,2511082.41,2427170.31
"memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2763821.75,2649407.05,2679655.73
"memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,2410478.31,2512633,2106869.82
"memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2773955.34,2865261.93,2806199.11
"memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,2550575.11,2602826.18,2966884.56
"memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2687075.03,3347517.25,2738214.13
"memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,2416811.03,2536364.42,2382868.01
"memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2773074.52,2773551.23,2813689.56
"memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,2688499.75,2785214.15,2670507.06
"Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,5352183.5,3822955.75,4344096.5
"Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,3555745.75,3119402.25,3243652
"Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,4243838,4223762,4248164.5
"Redis - Test: LPOP - Parallel Connections: 50 (Reqs/sec)",HIB,4457927,2755629.25,2659905
"Redis - Test: SADD - Parallel Connections: 50 (Reqs/sec)",HIB,3638545.75,3997500.25,3943910.25
"Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,3388742.5,2669989.75,3312414.5
"Redis - Test: GET - Parallel Connections: 1000 (Reqs/sec)",HIB,3881387,4364222.5,4293396.5
"Redis - Test: LPOP - Parallel Connections: 500 (Reqs/sec)",HIB,5223662.5,2834518,2617574
"Redis - Test: LPUSH - Parallel Connections: 50 (Reqs/sec)",HIB,2822836.25,2851816.25,2718001
"Redis - Test: SADD - Parallel Connections: 500 (Reqs/sec)",HIB,3875137.25,3854227.75,4012269
"Redis - Test: SET - Parallel Connections: 1000 (Reqs/sec)",HIB,3502199,3273479.5,3246355
"Redis - Test: LPOP - Parallel Connections: 1000 (Reqs/sec)",HIB,2848729.25,2840960,2747067.5
"Redis - Test: LPUSH - Parallel Connections: 500 (Reqs/sec)",HIB,2929168,2947470.75,2168859.75
"Redis - Test: SADD - Parallel Connections: 1000 (Reqs/sec)",HIB,3297778,3465545.75,3752102.5
"Redis - Test: LPUSH - Parallel Connections: 1000 (Reqs/sec)",HIB,2844518.25,2941056.25,2918397
"etcd - Test: PUT - Connections: 50 - Clients: 100 (Reqs/sec)",HIB,117936.3208,118167.755,118067.3946
"etcd - Test: PUT - Connections: 100 - Clients: 100 (Reqs/sec)",HIB,112169.9051,111324.9806,111437.66
"etcd - Test: PUT - Connections: 50 - Clients: 1000 (Reqs/sec)",HIB,168856.1994,168241.7701,168534.309
"etcd - Test: PUT - Connections: 500 - Clients: 100 (Reqs/sec)",HIB,112654.9098,112419.0915,112565.754
"etcd - Test: PUT - Connections: 100 - Clients: 1000 (Reqs/sec)",HIB,162474.2042,163025.2241,163135.4487
"etcd - Test: PUT - Connections: 500 - Clients: 1000 (Reqs/sec)",HIB,126034.683,126006.7027,125808.3795
"etcd - Test: RANGE - Connections: 50 - Clients: 100 (Reqs/sec)",HIB,118377.2467,118320.296,118167.1254
"etcd - Test: RANGE - Connections: 100 - Clients: 100 (Reqs/sec)",HIB,111362.119,111448.4558,111365.0268
"etcd - Test: RANGE - Connections: 50 - Clients: 1000 (Reqs/sec)",HIB,168558.4019,168112.8884,168376.887
"etcd - Test: RANGE - Connections: 500 - Clients: 100 (Reqs/sec)",HIB,112561.3114,112831.3886,112498.8743
"etcd - Test: RANGE - Connections: 100 - Clients: 1000 (Reqs/sec)",HIB,163123.8521,163552.1304,163558.7114
"etcd - Test: RANGE - Connections: 500 - Clients: 1000 (Reqs/sec)",HIB,125740.5868,125808.6577,125868.5806
"Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,18.57,18.89,18.57
"srsRAN - Test: OFDM_Test (Samples / Second)",HIB,168600000,183000000,185500000
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,1032,1029,1029
"AI Benchmark Alpha - Device Training Score (Score)",HIB,1672,1673,1674
"AI Benchmark Alpha - Device AI Score (Score)",HIB,2704,2702,2703
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,151,151.6,151.4
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,191.5,191.2,189.6
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,172.6,172.9,173.2
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,209.8,209.6,209.7
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,88,88,87
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,206019,205796,205167
"etcd - Test: PUT - Connections: 50 - Clients: 100 - Average Latency (ms)",LIB,0.8,0.8,0.8
"etcd - Test: PUT - Connections: 100 - Clients: 100 - Average Latency (ms)",LIB,0.9,0.9,0.9
"etcd - Test: PUT - Connections: 50 - Clients: 1000 - Average Latency (ms)",LIB,5.9,5.9,5.9
"etcd - Test: PUT - Connections: 500 - Clients: 100 - Average Latency (ms)",LIB,0.9,0.9,0.9
"etcd - Test: PUT - Connections: 100 - Clients: 1000 - Average Latency (ms)",LIB,6.1,6.1,6.1
"etcd - Test: PUT - Connections: 500 - Clients: 1000 - Average Latency (ms)",LIB,7.7,7.7,7.7
"etcd - Test: RANGE - Connections: 50 - Clients: 100 - Average Latency (ms)",LIB,0.8,0.8,0.8
"etcd - Test: RANGE - Connections: 100 - Clients: 100 - Average Latency (ms)",LIB,0.9,0.9,0.9
"etcd - Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency (ms)",LIB,5.9,5.9,5.9
"etcd - Test: RANGE - Connections: 500 - Clients: 100 - Average Latency (ms)",LIB,0.9,0.9,0.9
"etcd - Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency (ms)",LIB,6.1,6.1,6.1
"etcd - Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency (ms)",LIB,7.7,7.7,7.7
"Mobile Neural Network - Model: nasnet (ms)",LIB,9.296,9.287,9.375
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.206,1.2,1.216
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,3.058,2.657,3.051
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,20.05,20.3,21.969
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.095,4.928,5.049
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,2.394,2.408,2.47
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.454,2.428,2.444
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,26.695,26.695,26.266
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,11.16,12.31,11.64
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,3.46,3.66,3.49
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,2.79,2.9,2.83
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,3.14,3.06,3.09
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,3,3.04,3.02
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,5.44,5.44,5.41
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.02,1.02,1.02
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,9.22,9.16,9.53
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,37.96,37.99,38.14
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,7.51,7.41,7.4
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,5.77,5.76,5.73
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,14.37,14.4,14.57
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,19.86,20,19.2
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,13.4,13.6,13.31
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,8.61,8.61,8.63
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,204.96,204.75,221.23
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,4.07,4.03,4.67
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,482.96,483.87,481.76
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,150.34,150.56,150.22
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,139.49,139.27,138.77
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,79.04,79.41,79.43
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,157.2,157.3,156.92
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,257.97,260.09,259.64
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,32.23,32.29,32.21
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,405.89,405.86,405.42
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,1906.45,1903.62,1896.06
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,364.07,365,364.29
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,377.29,381.28,377.61
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,940.23,940.99,950.14
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,622.75,627.21,623.95
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,365.93,366.55,365.07
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,188.61,189.02,188.96
"NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,5945.17,5943.47,5956.11
"NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,79.4,79.21,78.85
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1730.06,1734.99,1736.86
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2257.35,2255.03,2256.98
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2257.15,2252.28,2255.2
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,19.48,19.33,19.57
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,395.54,395.59,395.44
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,8.64,8.61,8.61
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,14.34,51.76,51.71
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,127.81,127.36,127.17
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,13.16,13.38,13.39
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,11.05,11.11,11.08
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.84,1.86,1.85
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.74,0.74,0.74
"Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,5.688,5.699,5.71
"Timed Node.js Compilation - Time To Compile (sec)",LIB,527.01,526.99,528.234
"Timed PHP Compilation - Time To Compile (sec)",LIB,52.954,53.009,52.885
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,15.506,15.489,15.397
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,199.391,199.787,200.43
"Primesieve - Length: 1e12 (sec)",LIB,20.215,20.29,20.206
"Primesieve - Length: 1e13 (sec)",LIB,236.721,235.757,236.408
"Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,87.699,88.056,88.369
"Timed Wasmer Compilation - Time To Compile (sec)",LIB,51.861,51.602,51.763
"Apache Spark - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,2.69,2.84,3.01
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,123.174031753,124.069014404,123.94
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.98,7.12,7.00
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Group By Test Time (sec)",LIB,2.94,2.84,2.95
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,1.75,1.88,1.76
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,1.41,1.44,1.42
"Apache Spark - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,1.16,1.11,1.13
"Apache Spark - Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time (sec)",LIB,2.89,2.95,2.83
"Apache Spark - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark (sec)",LIB,123.618450656,123.541641397,125.001646515
"Apache Spark - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.97,7.01,6.99
"Apache Spark - Row Count: 1000000 - Partitions: 500 - Group By Test Time (sec)",LIB,3.27,3.28,3.23
"Apache Spark - Row Count: 1000000 - Partitions: 500 - Repartition Test Time (sec)",LIB,1.87,1.90,1.89
"Apache Spark - Row Count: 1000000 - Partitions: 500 - Inner Join Test Time (sec)",LIB,1.44,1.40,1.57
"Apache Spark - Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time (sec)",LIB,1.39,1.44,1.32
"Apache Spark - Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time (sec)",LIB,3.07,3.07,2.98
"Apache Spark - Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark (sec)",LIB,123.957658703,123.00,124.476336981
"Apache Spark - Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.93,6.95,6.97
"Apache Spark - Row Count: 1000000 - Partitions: 1000 - Group By Test Time (sec)",LIB,3.46,3.52,3.48
"Apache Spark - Row Count: 1000000 - Partitions: 1000 - Repartition Test Time (sec)",LIB,1.98,2.11,2.02
"Apache Spark - Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time (sec)",LIB,1.803054303,1.92,1.85
"Apache Spark - Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time (sec)",LIB,1.85,1.54,1.50
"Apache Spark - Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time (sec)",LIB,3.41,3.38,3.37
"Apache Spark - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark (sec)",LIB,122.348772378,124.03,124.53
"Apache Spark - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,7.00,6.98,6.87
"Apache Spark - Row Count: 1000000 - Partitions: 2000 - Group By Test Time (sec)",LIB,3.78,3.78,3.78
"Apache Spark - Row Count: 1000000 - Partitions: 2000 - Repartition Test Time (sec)",LIB,2.34,2.31,2.34
"Apache Spark - Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time (sec)",LIB,2.34,2.36,2.19
"Apache Spark - Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time (sec)",LIB,2.02,1.91,1.99
"Apache Spark - Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,12.43,12.50,12.46
"Apache Spark - Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,123.758446737,124.093579903,125.60
"Apache Spark - Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.99,6.98,7.00
"Apache Spark - Row Count: 10000000 - Partitions: 100 - Group By Test Time (sec)",LIB,6.06,6.30,6.36
"Apache Spark - Row Count: 10000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,8.59,8.40,8.46
"Apache Spark - Row Count: 10000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,10.22,10.20,10.06
"Apache Spark - Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,10.083681032,10.157012655,10.21
"Apache Spark - Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time (sec)",LIB,12.23,12.03,11.98
"Apache Spark - Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark (sec)",LIB,122.855103001,124.132910967,124.29
"Apache Spark - Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.97,6.92,6.92
"Apache Spark - Row Count: 10000000 - Partitions: 500 - Group By Test Time (sec)",LIB,6.51,6.29,6.39
"Apache Spark - Row Count: 10000000 - Partitions: 500 - Repartition Test Time (sec)",LIB,7.97,8.24,8.07
"Apache Spark - Row Count: 10000000 - Partitions: 500 - Inner Join Test Time (sec)",LIB,9.28,8.87,8.91
"Apache Spark - Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time (sec)",LIB,8.86,9.09,8.80
"Apache Spark - Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,22.987073933,22.98,23.02
"Apache Spark - Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,123.347395163,123.781975598,124.76
"Apache Spark - Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,7.01,6.95,6.99
"Apache Spark - Row Count: 20000000 - Partitions: 100 - Group By Test Time (sec)",LIB,9.91,10.03,9.61
"Apache Spark - Row Count: 20000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,16.078304281,16.00,16.17
"Apache Spark - Row Count: 20000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,19.615724636,19.211734983,19.71
"Apache Spark - Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,18.546102273,19.68,19.17
"Apache Spark - Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time (sec)",LIB,21.98,21.60,21.56
"Apache Spark - Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark (sec)",LIB,123.315452123,123.659609155,124.10
"Apache Spark - Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.91,7.02,6.90
"Apache Spark - Row Count: 20000000 - Partitions: 500 - Group By Test Time (sec)",LIB,9.07,9.49,9.16
"Apache Spark - Row Count: 20000000 - Partitions: 500 - Repartition Test Time (sec)",LIB,15.07,15.30,15.18
"Apache Spark - Row Count: 20000000 - Partitions: 500 - Inner Join Test Time (sec)",LIB,17.501869869,17.36,17.87
"Apache Spark - Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time (sec)",LIB,16.877289487,17.88,16.87
"Apache Spark - Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,41.359232589,41.57,41.35
"Apache Spark - Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,123.600912032,123.903099348,125.164549301
"Apache Spark - Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,7.00,7.01,6.98
"Apache Spark - Row Count: 40000000 - Partitions: 100 - Group By Test Time (sec)",LIB,24.744527851,24.87,24.86
"Apache Spark - Row Count: 40000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,30.17,30.88,31.51
"Apache Spark - Row Count: 40000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,34.20,34.587657908,35.46
"Apache Spark - Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,33.09,36.21,34.75
"Apache Spark - Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time (sec)",LIB,42.385326391,41.61,41.62
"Apache Spark - Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark (sec)",LIB,123.338861542,123.436068143,124.09
"Apache Spark - Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.96,6.91,6.94
"Apache Spark - Row Count: 40000000 - Partitions: 500 - Group By Test Time (sec)",LIB,22.05,21.80,21.94
"Apache Spark - Row Count: 40000000 - Partitions: 500 - Repartition Test Time (sec)",LIB,30.231436134,30.63,30.67
"Apache Spark - Row Count: 40000000 - Partitions: 500 - Inner Join Test Time (sec)",LIB,35.388141288,35.60,35.03
"Apache Spark - Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time (sec)",LIB,34.88705537,34.21,34.24
"Apache Spark - Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time (sec)",LIB,11.950703479,12.08,12.23
"Apache Spark - Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark (sec)",LIB,124.530201879,129.233966759,123.832556311
"Apache Spark - Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.93,7.30,6.91
"Apache Spark - Row Count: 10000000 - Partitions: 1000 - Group By Test Time (sec)",LIB,6.399788449,6.37,6.33
"Apache Spark - Row Count: 10000000 - Partitions: 1000 - Repartition Test Time (sec)",LIB,8.19,8.09,8.15
"Apache Spark - Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time (sec)",LIB,9.48,9.92,9.42
"Apache Spark - Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time (sec)",LIB,8.85,8.72,8.80
"Apache Spark - Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time (sec)",LIB,12.45,12.99,12.44
"Apache Spark - Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark (sec)",LIB,123.853876534,131.922286442,124.49
"Apache Spark - Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,7.00,7.36,6.90
"Apache Spark - Row Count: 10000000 - Partitions: 2000 - Group By Test Time (sec)",LIB,6.58,6.85,6.62
"Apache Spark - Row Count: 10000000 - Partitions: 2000 - Repartition Test Time (sec)",LIB,8.42,8.93,8.50
"Apache Spark - Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time (sec)",LIB,9.99,10.57,9.79
"Apache Spark - Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time (sec)",LIB,9.10,9.71,9.13
"Apache Spark - Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time (sec)",LIB,21.882513891,21.83999095,21.93
"Apache Spark - Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark (sec)",LIB,124.201627183,124.635599763,124.731757086
"Apache Spark - Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.97,6.91,6.93
"Apache Spark - Row Count: 20000000 - Partitions: 1000 - Group By Test Time (sec)",LIB,9.44,9.13,9.41
"Apache Spark - Row Count: 20000000 - Partitions: 1000 - Repartition Test Time (sec)",LIB,15.132216491,15.27,15.179208759
"Apache Spark - Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time (sec)",LIB,17.73,17.63,17.81
"Apache Spark - Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time (sec)",LIB,17.242279869,17.05,16.77
"Apache Spark - Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time (sec)",LIB,21.966948837,22.088964217,21.90
"Apache Spark - Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark (sec)",LIB,123.368306617,125.670244459,124.01
"Apache Spark - Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.94,6.92,6.90
"Apache Spark - Row Count: 20000000 - Partitions: 2000 - Group By Test Time (sec)",LIB,9.43,9.37,9.24
"Apache Spark - Row Count: 20000000 - Partitions: 2000 - Repartition Test Time (sec)",LIB,15.570102078,15.33,15.34
"Apache Spark - Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time (sec)",LIB,18.50,17.82,18.23
"Apache Spark - Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time (sec)",LIB,16.89,16.959085602,17.58
"Apache Spark - Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time (sec)",LIB,41.970932909,41.69,41.53
"Apache Spark - Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark (sec)",LIB,123.980783643,123.944053248,124.961603934
"Apache Spark - Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,6.88,6.962493428,6.96
"Apache Spark - Row Count: 40000000 - Partitions: 1000 - Group By Test Time (sec)",LIB,21.42,21.00,20.95
"Apache Spark - Row Count: 40000000 - Partitions: 1000 - Repartition Test Time (sec)",LIB,29.402919671,30.07,29.236415558
"Apache Spark - Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time (sec)",LIB,34.68,34.70,34.67
"Apache Spark - Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time (sec)",LIB,35.698133038,35.82,33.70
"Apache Spark - Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time (sec)",LIB,41.86,41.90,42.09
"Apache Spark - Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark (sec)",LIB,123.974795224,125.005596616,125.33
"Apache Spark - Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,7.06,7.01,6.90
"Apache Spark - Row Count: 40000000 - Partitions: 2000 - Group By Test Time (sec)",LIB,21.118961148,21.05,21.07
"Apache Spark - Row Count: 40000000 - Partitions: 2000 - Repartition Test Time (sec)",LIB,29.378328391,29.67,29.46
"Apache Spark - Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time (sec)",LIB,35.060375837,34.70,34.76
"Apache Spark - Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time (sec)",LIB,36.45,34.61,35.53
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,107.38,107.6,107.26
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,303.34,303.25,303.35
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,154.91,154.74,155.23
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,1242.71,1241.97,1242.78
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,377.04,377.7,378.41