2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED on Ubuntu 21.04 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 2212138-NE-CASCADELA57
Cascade Lake EO 2022
2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED on Ubuntu 21.04 via the Phoronix Test Suite.
,,"INTEL SSDPED1D280GA - 2 x Intel Xeon Platinum 8280","b"
Processor,,2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads),2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)
Motherboard,,GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS),GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)
Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers
Memory,,384GB,384GB
Disk,,280GB INTEL SSDPED1D280GA,280GB INTEL SSDPED1D280GA
Graphics,,ASPEED,ASPEED
Monitor,,VE228,VE228
Network,,2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE,2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE
OS,,Ubuntu 21.04,Ubuntu 21.04
Kernel,,5.11.0-49-generic (x86_64),5.11.0-49-generic (x86_64)
Desktop,,GNOME Shell 3.38.4,GNOME Shell 3.38.4
Display Server,,X Server,X Server
Compiler,,GCC 10.3.0,GCC 10.3.0
File-System,,ext4,ext4
Screen Resolution,,1920x1080,1920x1080
,,"INTEL SSDPED1D280GA - 2 x Intel Xeon Platinum 8280","b"
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,279788,285337
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,266808,265907
"Aircrack-ng - (k/s)",HIB,165289.688,165903.828
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.33,0.32
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,7.49,7.74
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,21.8,21.78
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,12.69,13.57
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,26.45,26.42
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,30.48,30.42
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,31.02,30.54
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.87,0.89
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,15.61,15.55
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,42.76,42.48
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,34,34
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,54.47,54.82
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,61.71,60.36
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,61.85,60.16
"ASTC Encoder - Preset: Fast (MT/s)",HIB,585.5207,584.8675
"ASTC Encoder - Preset: Medium (MT/s)",HIB,225.0857,223.8952
"ASTC Encoder - Preset: Thorough (MT/s)",HIB,29.9041,30.1967
"ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,3.0513,3.0502
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,33.29,33.18
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,99.72,99.04
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,45.76,46.17
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,353.62,353.42
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,114.71,115.74
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,398817,365899
"C-Blosc - Test: blosclz shuffle (MB/s)",HIB,11105.8,11168.3
"C-Blosc - Test: blosclz bitshuffle (MB/s)",HIB,8118.3,8197.9
"ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,294.43,293.52
"ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,307.13,288.70
"ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,292.82,305.18
"Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,1294.36,1301.6
"Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,2094.5,2091.71
"Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,1557.32,1559.64
"Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,47110,47160
"Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,4485.4,4465.15
"Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,3381900,3412680
"Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,21440,21380
"Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,444910,439420
"Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,63780,66280
"Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,310470,311140
"Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,700440,699890
"Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,998690,990570
"EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,42.846,45.669
"EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,44.941,42.531
"EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,50.343,50.361
"EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,37.679,43.205
"Facebook RocksDB - Test: Random Fill (Op/s)",HIB,434208,436764
"Facebook RocksDB - Test: Random Read (Op/s)",HIB,208611097,206730498
"Facebook RocksDB - Test: Update Random (Op/s)",HIB,418302,416348
"Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,431976,433157
"Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,313319,314181
"Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,6444549,6734369
"Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,3209208,3221125
"FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,29.44,29.58
"FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,171.55,170.73
"FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,48.87,48.82
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,103.34,103.446550553
"FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,237.214007964,237.94
"FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,10.64,10.61
"FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,126.856850973,127.96
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,19.90,19.73
"FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,191.25,191.62
"FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,39.61,39.53
"FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,189.07,188.65
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,40.06,40.15
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,191.28,191.79
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,39.60,39.50
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,188.57,188.04
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,40.17,40.28
"FLAC Audio Encoding - WAV To FLAC (sec)",LIB,21.267,21.314
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,1333,1331
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,607,597
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,568,568
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,875,865
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,550,840
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,563,577
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,839,883
"JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,34.54,34.58
"JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,201.48,198.69
"JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,7.62,7.68
"JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,7.38,7.47
"JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,7.33,7.38
"JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,7.22,7.2
"JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.52,0.52
"JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.51,0.51
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,25.074,25.148
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,24.275,23.193
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,97.902,97.733
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,54.42,54.878
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,4.725,4.859
"libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,9.071,9.215
"libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,6.652,6.477
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,1399.056,1428.727
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,55.962,57.149
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,1538.634,1541.832
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,61.545,61.673
"Mobile Neural Network - Model: nasnet (ms)",LIB,22.497,23.115
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,3.961,4.042
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,3.883,4.253
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,13.176,13.044
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.722,6.257
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.614,5.224
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.129,3.142
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,31.864,31.667
"Natron - Input: Spaceship (FPS)",HIB,5.4,4.8
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,30.91,30.66
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,18.05,18.01
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,17.02,17.3
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,21.13,21.11
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,17.45,17.68
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,24.66,24.69
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,10.17,10.14
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,32.62,31.4
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,40.35,36.05
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,17.61,17.65
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,10.63,10.51
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,33.81,32.59
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,36.13,36.74
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,35.93,35.07
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,89.39,89.23
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,151.51,151.17
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,22.96,22.68
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,34.6514,34.5787
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,801.8523,803.0683
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,14.5867,14.9008
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,68.5446,67.098
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,164.4539,161.9536
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,169.9114,172.615
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,56.1063,55.2295
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,17.8108,18.0927
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,272.8622,273.7795
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,102.5182,102.1801
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,99.0238,97.9384
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,10.0816,10.1946
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,723.4913,722.7947
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,38.6627,38.694
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,144.4299,141.3272
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,6.9099,7.0623
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,361.6365,360.2636
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,77.3419,77.5937
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,76.1403,76.4844
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,13.123,13.0637
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,182.0967,181.4118
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,153.4696,153.9307
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,40.3253,40.2666
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,24.7869,24.8225
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,34.8118,34.6552
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,802.8247,800.2307
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,14.4712,14.4793
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,69.0912,69.0519
"nginx - Connections: 200 (Reqs/sec)",HIB,195293.96,194150.31
"nginx - Connections: 500 (Reqs/sec)",HIB,178747.63,176366.64
"nginx - Connections: 1000 (Reqs/sec)",HIB,175441.9,174724.67
"Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,10.95,10.71
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,29.476496,29.537025
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,61.237814,61.29706
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,151.4939,151.16296
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,597.10215,595.87725
"OpenRadioss - Model: Bumper Beam (sec)",LIB,109.91,109.79
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,41.16,41.11
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,161.79,161.85
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,102.01,101.32
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,185.69,186.06
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,18.51,18.6
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,752.89,748.8
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,10.03,9.98
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1384.28,1390.23
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,9.88,9.87
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1405.23,1407.31
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,676.29,680.06
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,20.65,20.53
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,58.97,59.06
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,236.99,236.64
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,2918.31,2920.8
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.77,4.77
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,1868.71,1832.31
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,29.86,30.39
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,171,170.8
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,81.78,81.89
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,7112.27,7074.12
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,7.87,7.89
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,1229.07,1243.97
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,11.34,11.2
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,48512.62,48768.66
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.14,1.13
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,101962.23,83434.61
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.5,0.65
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,2084,2092
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,2146,2144
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,2542,2544
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,33437,33389
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,76344,75930
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,34298,34294
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,77462,77633
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,40549,40652
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,90354,90494
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,529,528
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,541,543
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,643,644
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,8400,8401
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,16870,16780
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,8623,8632
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,17290,17251
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,10258,10259
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,20480,20482
"PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,1048283,1048534
"PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.095,0.095
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,1374491,1353421
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.182,0.185
"PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,1267687,1295095
"PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.394,0.386
"PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,72271,72358
"PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,1.384,1.382
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,70486,70918
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,3.547,3.525
"PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,64191,64201
"PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,7.789,7.788
"Primesieve - Length: 1e12 (sec)",LIB,4.554,4.57
"Primesieve - Length: 1e13 (sec)",LIB,54.58,54.585
"Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,3254842.75,3030357.25
"Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,2221373.5,2210179.75
"Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,2979436.25,2975712.5
"Redis - Test: LPOP - Parallel Connections: 50 (Reqs/sec)",HIB,3230449.5,1898143.62
"Redis - Test: SADD - Parallel Connections: 50 (Reqs/sec)",HIB,2621828.75,2606657.25
"Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,2269673,2240083.25
"Redis - Test: GET - Parallel Connections: 1000 (Reqs/sec)",HIB,2928718.75,2933658.5
"Redis - Test: LPOP - Parallel Connections: 500 (Reqs/sec)",HIB,3298865,1902295.62
"Redis - Test: LPUSH - Parallel Connections: 50 (Reqs/sec)",HIB,1841361.88,1867237.88
"Redis - Test: SADD - Parallel Connections: 500 (Reqs/sec)",HIB,2584559.75,2539534.75
"Redis - Test: SET - Parallel Connections: 1000 (Reqs/sec)",HIB,2203627.75,2247242.25
"Redis - Test: LPOP - Parallel Connections: 1000 (Reqs/sec)",HIB,1911783.38,1883613.25
"Redis - Test: LPUSH - Parallel Connections: 500 (Reqs/sec)",HIB,1852104.12,1853636.5
"Redis - Test: SADD - Parallel Connections: 1000 (Reqs/sec)",HIB,2533738,2498074
"Redis - Test: LPUSH - Parallel Connections: 1000 (Reqs/sec)",HIB,1821781.5,1824019
"Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,129.581,128.046
"Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,32.615,33.22
"Scikit-Learn - Benchmark: Sparse Random Projections, 100 Iterations (sec)",LIB,170.263,173.409
"SMHasher - Hash: wyhash (MiB/sec)",HIB,29463.13,29475.8
"SMHasher - Hash: wyhash (cycles/hash)",LIB,17.654,17.717
"SMHasher - Hash: SHA3-256 (MiB/sec)",HIB,166.88,166.93
"SMHasher - Hash: SHA3-256 (cycles/hash)",LIB,2370.251,2368.685
"SMHasher - Hash: Spooky32 (MiB/sec)",HIB,17219.78,17208
"SMHasher - Hash: Spooky32 (cycles/hash)",LIB,35.699,37.415
"SMHasher - Hash: fasthash32 (MiB/sec)",HIB,8470.42,8470.34
"SMHasher - Hash: fasthash32 (cycles/hash)",LIB,26.17,26.126
"SMHasher - Hash: FarmHash128 (MiB/sec)",HIB,19118.87,19087.88
"SMHasher - Hash: FarmHash128 (cycles/hash)",LIB,48.091,48.105
"SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,18398.96,18365.34
"SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,24.332,24.429
"SMHasher - Hash: FarmHash32 x86_64 AVX (MiB/sec)",HIB,29638.57,29452.76
"SMHasher - Hash: FarmHash32 x86_64 AVX (cycles/hash)",LIB,30.772,30.818
"SMHasher - Hash: t1ha0_aes_avx2 x86_64 (MiB/sec)",HIB,59594.38,58573.25
"SMHasher - Hash: t1ha0_aes_avx2 x86_64 (cycles/hash)",LIB,24.65,24.685
"SMHasher - Hash: MeowHash x86_64 AES-NI (MiB/sec)",HIB,46001.66,46004.7
"SMHasher - Hash: MeowHash x86_64 AES-NI (cycles/hash)",LIB,46.553,46.656
"spaCy - Model: en_core_web_lg (tokens/sec)",HIB,11164,11159
"spaCy - Model: en_core_web_trf (tokens/sec)",HIB,2681,2620
"srsRAN - Test: OFDM_Test (Samples / Second)",HIB,118400000,118700000
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,281.1,279.8
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,118.5,117.9
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,280.8,279.5
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,123.4,123
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,306,305.2
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,128.3,128.3
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,308.2,306.1
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,131.4,130.9
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,99.9,100
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,66.4,66.6
"Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 512 (Render Ratio)",HIB,3.775565,3.862344
"Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 512 (Render Ratio)",HIB,2.578348,2.41661
"Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 512 (Render Ratio)",HIB,1.360583,1.348141
"Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 1024 (Render Ratio)",HIB,4.517163,4.468105
"Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 512 (Render Ratio)",HIB,3.550207,3.739987
"Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,2.884922,2.793683
"Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,1.811566,1.79161
"Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 1024 (Render Ratio)",HIB,4.212273,4.320925
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,1717.7,1693.1
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,669.8,671.75
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,994638.01,873562.81
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,2270.97,2254.36
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,29653978.36,29884898.19
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,137470.7,140279.16
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,59790.97,59612.28
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,174952061.92,175004286.22
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,46775.23,46775.21
"Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,42951.47,43810.05
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,858120.4,858505.47
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,24.43,34.82
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,109697.18,109150.8
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,8408150.13,8392999.8
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,175814.76,175896.19
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,172843.7,173849.37
"Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,503127.41,503164.49
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,7527.36,7528.54
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,29533.59,29673.72
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,3968289.01,3999415.61
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,5950643.24,6053118.36
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,689.5,689.83
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,4723346.41,4682345.01
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.058,3.047
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,52.748,53.568
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,159.628,162.31
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,159.604,155.398
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,8.22,7.961
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,123.579,125.224
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,492.182,497.704
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,473.351,472.739
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,270.77,263.68
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,344.08,339.62
"TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,441.54,439.56
"TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,463.14,460.25
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,152.61,154.79
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,46.26,46.6
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,184.88,182.67
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,51.24,51.33
"TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,210.78,213.37
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,56.44,55.35
"TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,214.99,217.76
"TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,55.33,55.51
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,16.714,16.653
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,354.938,356.043
"Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,91.011,91.364
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,33.49,33.594
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,320.943,321.332
"Timed Node.js Compilation - Time To Compile (sec)",LIB,184.607,184.793
"Timed PHP Compilation - Time To Compile (sec)",LIB,47.794,48.349
"Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,8.185,8.171
"WebP Image Encode - Encode Settings: Default (MP/s)",HIB,14.67,14.61
"WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,9.20,9.13
"WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.30,1.30
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.14,3.14
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.49,0.49
"WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,6.97,7.00
"WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.44,0.42
"WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.21,0.21
"WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,9.34,9.48
"WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.04,0.04
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,17372.3,17029.1
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,28437.4,28748.9
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,16.646,16.899
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,8.394,8.403