2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and Matrox G200eW3 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 2211191-NE-ZEN1EPYC673
zen 1 epyc
2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and Matrox G200eW3 on Ubuntu 22.04 via the Phoronix Test Suite.
,,"a","b"
Processor,,2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads),2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads)
Motherboard,,Dell 02MJ3T (1.2.5 BIOS),Dell 02MJ3T (1.2.5 BIOS)
Chipset,,AMD 17h,AMD 17h
Memory,,512GB,512GB
Disk,,280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R,280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R
Graphics,,Matrox G200eW3,Matrox G200eW3
Monitor,,VE228,VE228
Network,,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 PCIe
OS,,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.15.0-40-generic (x86_64),5.15.0-40-generic (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server 1.21.1.3,X Server 1.21.1.3
Vulkan,,1.2.204,1.2.204
Compiler,,GCC 11.3.0,GCC 11.3.0
File-System,,ext4,ext4
Screen Resolution,,1600x1200,1600x1200
,,"a","b"
"TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,11.24,11.32
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,10.92,10.86
"TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,30.61,30.42
"AI Benchmark Alpha - Device AI Score (Score)",HIB,2009,1992
"AI Benchmark Alpha - Device Training Score (Score)",HIB,764,760
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,1245,1232
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,413004,406201
"TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,30.11,29.87
"TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,69.82,69.69
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,541.95263,542.44501
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,167.0036,167.06876
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,10.11,10.17
"SMHasher - Hash: SHA3-256 (cycles/hash)",LIB,2294.234,2294.164
"SMHasher - Hash: SHA3-256 (MiB/sec)",HIB,171.09,171.13
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,76.99,51.75
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,319.23,298.72
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,286.78,208.14
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,100.38,94.37
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,75.13,78.03
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,178.31,110.59
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,65.6,53.71
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,81.24,63.2
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,139.33,123.73
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,111.2,100.95
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,42.63,31.18
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,55.09,56.92
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,51.66,41.96
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,64,43.74
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,45.3,58.67
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,74.59,48.21
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,70.65,82.64
"JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.4,0.4
"JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.4,0.4
"WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.04,0.04
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,56.231,56.096
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,7.677,7.386
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,9.862,9.957
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,15.675,15.008
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,50.815,47.115
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,10.633,10.152
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,5.475,5.35
"Mobile Neural Network - Model: nasnet (ms)",LIB,42.874,40.336
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,409.74,408.93
"TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,69.6,69.33
"FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,8.03,8.01
"FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,314.58,315.290203876
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,399.66,400.368
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,21.21,21.12
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,357.150956529,358.61
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,21.24,21.27
"FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,356.59243127,356.16
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,9.6,9.69
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,24.029,23.033
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,10.45,10.50
"FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,241.646159513,240.519283432
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,30.20,30.25
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,250.83,250.37
"FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,30.42,30.18
"FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,249.00936878,250.99
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,30.13,30.12
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,8.13,8.12
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,210.39,207.85
"Timed Node.js Compilation - Time To Compile (sec)",LIB,217.334,215.92
"JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,6.1,6.06
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,185.26,186.71
"JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,6.37,6.38
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,173492,173590
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,17838,17792
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,17188,17139
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,30.127,29.692
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,753.17,742.296
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,150980,151192
"JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,5.91,5.94
"nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,184723000000,184827000000
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,145358,145660
"JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,6.27,6.29
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,41292,41490
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,5127,5130
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,136.608,136.591
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,4416,4403
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,4233,4239
"C-Blosc - Test: blosclz bitshuffle (MB/s)",HIB,5328.2,5318.7
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,5.59,5.56
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,29.09,28.44
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,118,117.84
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,35696,35397
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,126.81,126.75
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,1.314,1.321
"Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,124.066,124.216
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,34160,34140
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,59.55,59.76
"WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.20,0.20
"Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,7.13,7.02
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,58.22,57.01
"FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,86.74,88.58
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,1282,1277
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,1096,1100
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,1062,1060
"OpenRadioss - Model: Bumper Beam (sec)",LIB,108.51,108.31
"Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,13970,14530
"spaCy - Model: en_core_web_trf (tokens/sec)",HIB,701,685
"spaCy - Model: en_core_web_lg (tokens/sec)",HIB,6798,6795
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,362.7795,364.9851
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,87.6373,87.3202
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,20597,20517
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,91958,92675
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,61.454018,62.974805
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,34.098937,34.188105
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,8045.7,8013.88
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,7823,8504.29
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7893.57,8148.11
"JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,26.86,27.01
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.21,0.21
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,80769,80340
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,12797.7,10914.9
"nginx - Connections: 1000 (Reqs/sec)",HIB,96265.52,95346.38
"nginx - Connections: 500 (Reqs/sec)",HIB,99535.87,98639.62
"nginx - Connections: 200 (Reqs/sec)",HIB,100112.06,101709.29
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,5300.36,5167.81
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5157.6,5207.64
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5167.4,5128.18
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,78125,78264
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,8.95,8.71
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,87.25,87.77
"C-Blosc - Test: blosclz shuffle (MB/s)",HIB,8493.2,8534.5
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,8245.26,8119.63
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,3.85,3.89
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,8087.11,8150.2
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,3.9,3.89
"EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,78.457,81.167
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,78.895,79.112
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,24.77,24.47
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,48.66,48.45
"EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,74.538,74.885
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1387.0925,1398.9258
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,22.6007,22.568
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,4182.46,4185.2
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,7.61,7.61
"Timed Wasmer Compilation - Time To Compile (sec)",LIB,73.78,73.485
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,5452.5,5492
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,5.85,5.82
"EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,67.588,75.036
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1387.2953,1390.6109
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,22.6456,22.674
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,11.06,10.84
"srsRAN - Test: OFDM_Test (Samples / Second)",HIB,65700000,66100000
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,331.234,330.5267
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,96.0986,96.5473
"FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,129.99,130.30
"FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,38.85,38.76
"Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,154070,152420
"EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,66.471,68.291
"WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.38,0.37
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,92,91.5
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,274.2,273
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,62.29,62.84
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,513.24,508.7
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,533.65,520.79
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,59.76,61.27
"Timed PHP Compilation - Time To Compile (sec)",LIB,62.123,62.178
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,52.03,52.14
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,614.56,613.31
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,90.64,90.91
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,352.62,351.6
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,85.05,85.09
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,751.84,751.3
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,167,135
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,3.26,3.24
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,19469.8,19580.12
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,3.94,3.92
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,16068.58,16149.43
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,51.03,51.04
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,626.61,626.42
"Facebook RocksDB - Test: Update Random (Op/s)",HIB,199394,198198
"Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,1551427,1558868
"Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,5807440,6220606
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,561,555
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,443,448
"Facebook RocksDB - Test: Random Read (Op/s)",HIB,198794977,196826975
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,692,619
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,743,740
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1107,957
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,1243,1247
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.41,0.42
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,19243.7,19140.2
"ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,272.09,256.64
"ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,260.83,271.13
"ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,241.18,253.55
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,56.2277,52.0728
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,17.7786,19.1958
"Primesieve - Length: 1e13 (sec)",LIB,56.028,56.246
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,41.65,41.58
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,86.2,85.9
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,252.8,252.3
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,123.0974,121.5902
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.1225,8.2228
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,119.5632,120.5776
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.3625,8.2919
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,37.9743,38.3752
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,26.3211,26.046
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,51.46,51.66
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,166.1119,165.7009
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,192.2873,192.6373
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,261.4175,261.4233
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,121.842,121.8565
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,3.531,3.561
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,128.0038,127.2104
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,249.2856,250.8978
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,42.69,42.91
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.4996,19.3504
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,51.2365,51.6311
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,25.014,24.9281
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,39.942,40.071
"JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,151.09,151.66
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,16.41,15.89
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,13.5743,13.5155
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,73.5683,73.866
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,24.96,24.36
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,35.5,35.62
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,18.51,17.14
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,38,38.1
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,69.7,69.7
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.6,0.59
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,156802.93,172559.2
"Natron - Input: Spaceship (FPS)",HIB,3.5,3.6
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,14423511.17,15090386.73
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,25316.76,25937.03
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,678380.72,678714.22
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,802471.3,796565.52
"Aircrack-ng - (k/s)",HIB,76103.367,74378.891
"Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,222070,222040
"Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,45731.6,45863.96
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,140.8,140.65
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,98.9,99
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,279.8,279.4
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,2328.14,2485.61
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,7616183.78,7408445.43
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,19768.12,19540.99
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,199.02,259.54
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,146984386.17,148029623.74
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,1751.42,1743.95
"Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,1458.5,1452.6
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,67640.35,67622.54
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,673.06,667.4
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,106647.2,107074.79
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,5250106.25,5386266.71
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,2418.27,2342.6
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,266411.19,266535.54
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,215006.68,215110.79
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,7247266.69,7261328.18
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,17481256.34,17702491.79
"Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,18480,18440
"Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,374460,374430
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,21.01,21.39
"Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,496.52,499.97
"Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,27510,27490
"Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,1098730,1098280
"Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,718010,718140
"Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,1711.45,1702.45
"Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,56960,56960
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,27.872,27.515
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,696.801,687.884
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,21.95,21.83
"FLAC Audio Encoding - WAV To FLAC (sec)",LIB,28.868,28.744
"ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,2.2087,2.2093
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,21.577,21.561
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,93.7,93.6
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,257.5,256.9
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,27.818,28.06
"WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.06,1.05
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,22.619,22.707
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,19.1966,19.1791
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.14024,4.63109
"ASTC Encoder - Preset: Thorough (MT/s)",HIB,19.4177,19.4423
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,33.12,33.44
"SMHasher - Hash: FarmHash128 (cycles/hash)",LIB,51.419,51.419
"SMHasher - Hash: FarmHash128 (MiB/sec)",HIB,19050.24,19028.89
"SMHasher - Hash: MeowHash x86_64 AES-NI (cycles/hash)",LIB,47.356,47.348
"SMHasher - Hash: MeowHash x86_64 AES-NI (MiB/sec)",HIB,41424.16,41393.48
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,41.79,38.47
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,5.12686,5.03993
"SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 4K (FPS)",HIB,46.683,52.96
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.23625,3.81237
"SMHasher - Hash: Spooky32 (cycles/hash)",LIB,40.875,40.792
"SMHasher - Hash: Spooky32 (MiB/sec)",HIB,17912.16,17951.6
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,45.43,42.01
"ASTC Encoder - Preset: Fast (MT/s)",HIB,382.0137,376.393
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,11.184,10.987
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,48.34,42.57
"SMHasher - Hash: FarmHash32 x86_64 AVX (cycles/hash)",LIB,34.619,34.546
"SMHasher - Hash: FarmHash32 x86_64 AVX (MiB/sec)",HIB,32899.32,32884.37
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,9.48918,7.74858
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,29.7727,28.8968
"SMHasher - Hash: fasthash32 (cycles/hash)",LIB,29.558,29.586
"SMHasher - Hash: fasthash32 (MiB/sec)",HIB,8316.13,8317.14
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,67.124,69.476
"SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,27.774,27.774
"SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,18815.25,18809.49
"Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,10.559,10.649
"SMHasher - Hash: t1ha0_aes_avx2 x86_64 (cycles/hash)",LIB,27.314,27.314
"SMHasher - Hash: t1ha0_aes_avx2 x86_64 (MiB/sec)",HIB,77196.31,76443.61
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,2.43,2.43
"libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,9.994,10.085
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,20.1433,20.2831
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.52585,4.58464
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,76.278,76.731
"SMHasher - Hash: wyhash (cycles/hash)",LIB,20.507,20.508
"SMHasher - Hash: wyhash (MiB/sec)",HIB,30087.23,30062.54
"ASTC Encoder - Preset: Medium (MT/s)",HIB,151.8067,152.2417
"libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,7.613,7.653
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,21.0326,20.0581
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,28.7725,28.7918
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,5.268,5.268
"SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 1080p (FPS)",HIB,161.41,159.55
"Primesieve - Length: 1e12 (sec)",LIB,4.638,4.66
"WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,5.77,6.38
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,209.488,234.707
"WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,7.42,7.35
"WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,7.73,7.71
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.0371,5.6399
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.51501,2.51294
"WebP Image Encode - Encode Settings: Default (MP/s)",HIB,12.25,12.23
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,24.104,24.069
"nginx - Connections: 4000 (Reqs/sec)",HIB,,
"nginx - Connections: 100 (Reqs/sec)",HIB,,
"nginx - Connections: 20 (Reqs/sec)",HIB,,
"nginx - Connections: 1 (Reqs/sec)",HIB,,
"Stress-NG - Test: x86_64 RdRand ()",,,
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,