Tests for a future article. 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 2310296-PTS-OKTOBERF32
oktoberfest
Tests for a future article. 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"
Processor,,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)
Chipset,,Intel Device 7aa7,Intel Device 7aa7
Memory,,16GB,16GB
Disk,,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)
Audio,,Realtek ALC897,Realtek ALC897
Monitor,,ASUS MG28U,ASUS MG28U
Network,,Realtek RTL8125 2.5GbE + Intel Device 7af0,Realtek RTL8125 2.5GbE + Intel Device 7af0
OS,,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.19.0-051900rc6daily20220716-generic (x86_64),5.19.0-051900rc6daily20220716-generic (x86_64)
Desktop,,GNOME Shell 42.1,GNOME Shell 42.1
Display Server,,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
OpenCL,,OpenCL 3.0,OpenCL 3.0
Vulkan,,1.2.204,1.2.204
Compiler,,GCC 11.4.0,GCC 11.4.0
File-System,,ext4,ext4
Screen Resolution,,3840x2160,3840x2160
,,"a","b"
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.24,0.24
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,6.77,6.77
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,63.82,71.58
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,14.25,14.26
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,68.67,68.16
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,69.71,79.9
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,75.67,81.38
"AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K (FPS)",HIB,73.19,70.73
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.73,0.73
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,15.99,15.99
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,146.21,166.68
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,46.78,46.68
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,183.46,162.27
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,199.96,184.04
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,178.89,188.01
"AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p (FPS)",HIB,193.68,190.21
"Apache Cassandra - Test: Writes (Op/s)",HIB,123080,122667
"Apache HTTP Server - Concurrent Requests: 100 (Reqs/sec)",HIB,148966.44,145590.45
"Apache HTTP Server - Concurrent Requests: 200 (Reqs/sec)",HIB,140860.12,140213.08
"Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,119690.62,121041.48
"Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,120445.38,119665.35
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,112.43,112.12
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,316.24,316.35
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,156.02,156.07
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,1237.27,1237.36
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,385.7,385.91
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,215292,215193
"Build2 - Time To Compile (sec)",LIB,137.603,
"dav1d - Video Input: Chimera 1080p (FPS)",HIB,683.61,675.83
"dav1d - Video Input: Summer Nature 4K (FPS)",HIB,238.78,239.22
"dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,956.18,962.35
"dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,556.38,555.73
"DuckDB - Benchmark: IMDB (sec)",LIB,115.408,
"DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,97.820,
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,9.046,9.06
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,185.879,185.999
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,12.706,12.623
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,13.4891,13.5405
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,14.9731,14.9131
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,13.5052,13.4833
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,16.6603,16.6913
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,14.513,14.5736
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,21.215,21.288
"High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,6.95045,6.96238
"High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,,
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.34,0.34
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,127.473,126.773
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,60.818,59.356
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,6.332,6.274
"libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,9.164,9.139
"libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.552,4.634
"libxsmm - M N K: 128 (GFLOPS/s)",HIB,247.5,248
"libxsmm - M N K: 32 (GFLOPS/s)",HIB,96.3,96.4
"libxsmm - M N K: 64 (GFLOPS/s)",HIB,167.9,167
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,57879000,57881000
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,78801000,80378000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,115700000,115690000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,159380000,160510000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,221860000,221680000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,305790000,303380000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,402980000,400370000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,518790000,515540000
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,20784000,20781000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,757790000,750070000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,695800000,676010000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,41548000,41499000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,80680000,81117000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,130420000,131280000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,185450000,196230000
"Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,3279849.87,3183290.59
"Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,3016454.9,3059379.28
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,10.24,10.54
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,2.98,3.34
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,2.38,2.41
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,2.24,2.27
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,2.54,2.6
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,4.87,4.91
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,0.75,0.76
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,7.77,7.73
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,37.31,36.62
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,5.52,5.5
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,4.96,5.14
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,12.77,13.15
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,16.64,17.59
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,6.86,6.99
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,5.98,6.05
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,100.28,95.33
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,3,3.09
"nekRS - Input: Kershaw (flops/rank)",HIB,3261960000,3260840000
"nekRS - Input: TurboPipe Periodic (flops/rank)",HIB,,4079830000
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.4527,8.4551
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,586.6719,589.1531
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,7.7535,7.7442
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,128.9697,129.1244
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,222.916,223.3921
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,22.4104,22.3515
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,87.647,89.1195
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,11.4028,11.2144
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,100.4053,99.5737
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,49.7154,50.1726
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,56.1658,56.4406
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,17.7976,17.7105
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,30.4378,30.5986
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,164.2155,163.3215
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,21.1919,21.1846
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,47.1806,47.1966
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,109.1421,109.0587
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,45.7934,45.8118
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,79.1508,79.3733
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,12.6294,12.5944
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,712.3593,713.3158
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,7.0052,6.9947
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,349.6151,355.4745
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,2.8555,2.8079
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,52.3238,52.4969
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,95.4789,95.2027
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,45.3071,45.2474
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,22.0647,22.0939
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,9.656,9.679
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,511.3289,511.1198
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.145,8.1485
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (ms/batch)",LIB,122.7701,122.7176
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,108.1187,108.0654
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,46.1862,46.2101
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,78.9909,79.0416
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,12.6553,12.6469
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,50.9696,50.8618
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,98.0783,98.2865
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,45.4754,44.0455
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,21.986,22.6997
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,69.7199,69.0868
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,71.6364,72.2413
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,55.415,54.9374
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,18.0424,18.1991
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,10.4405,10.3248
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,472.6798,479.6106
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,9.7413,9.6372
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,102.6438,103.7525
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,114.5198,114.2856
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,43.6378,43.6626
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,50.7825,49.3977
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.6842,20.2367
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,34.6065,34.5555
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,144.1229,144.3669
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,28.2718,28.1161
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,35.367,35.5633
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.4541,8.3633
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,588.3009,593.639
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,7.754,7.7181
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,128.9608,129.5604
"nginx - Connections: 100 (Reqs/sec)",HIB,108258.46,107751.55
"nginx - Connections: 200 (Reqs/sec)",HIB,102547.95,102479.68
"nginx - Connections: 500 (Reqs/sec)",HIB,89266.33,88913.24
"nginx - Connections: 1000 (Reqs/sec)",HIB,82318.98,82032.62
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.89503,3.89409
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,10.7972,10.6941
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,14.3545,14.3415
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,9.24791,9.2303
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.04899,8.04648
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,5530.13,4270.3
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2636.78,2167.5
"OpenRadioss - Model: Bumper Beam (sec)",LIB,222.32,233.21
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,157.04,152.73
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,347.26,342.5
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,283.82,283.06
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,717.69,714.81
"OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,277,277
"OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,130,130
"Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,20.508,20.541
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,5.74695,5.76091
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,5.68706,5.70261
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,140.441,140.588
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,2.63693,2.63451
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,2.55887,2.54893
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,3.88095,3.86334
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,9734,9716
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,9910,9901
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,11549,11536
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,159663,159770
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,316965,317047
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,162070,162754
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,322602,322586
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,189279,189045
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,375733,375965
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2456,2457
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2499,2496
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2912,2916
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,42656,42536
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,82003,82116
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,43199,43132
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,83367,83406
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,49884,49910
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,96823,96957
"Palabos - Grid Size: 100 (Mega Site Updates/sec)",HIB,51.2381,51.3091
"Palabos - Grid Size: 400 (Mega Site Updates/sec)",HIB,76.7579,76.5863
"QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,39.88,40.51
"QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,445.38,445.23
"QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,201.74,202.34
"QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,43.891,44.358
"QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,314.45,313.84
"QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,341.81,338.6
"QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,40312.3,39967.5
"QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,4562.6,4573.9
"SQLite - Threads / Copies: 1 (sec)",LIB,8.943,8.908
"SQLite - Threads / Copies: 2 (sec)",LIB,14.49,14.457
"SQLite - Threads / Copies: 4 (sec)",LIB,19.005,19.004
"Stress-NG - Test: Hash (Bogo Ops/s)",HIB,2294409.16,2304545.32
"Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,7171062.72,7160556.83
"Stress-NG - Test: Poll (Bogo Ops/s)",HIB,1241130.3,1217218.91
"Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,1130.39,1129.89
"Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,860.48,865.39
"Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,186367.1,186386.61
"Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,81.66,82.1
"Stress-NG - Test: AVX-512 VNNI (Bogo Ops/s)",HIB,1228899.23,1229104.91
"Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,4377.45,4412.33
"Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,1401.51,1418.21
"Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,9447.65,9457.69
"Stress-NG - Test: Mixed Scheduler (Bogo Ops/s)",HIB,10186.26,10290.81
"Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,484455.75,484394.85
"Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,16384409.66,16391410.53
"Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,19538.35,19468.51
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.475,3.455
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,44.977,44.94
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,109.879,109.209
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,111.129,111.541
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,11.198,11.215
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,92.681,93.344
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,437.372,427.53
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,516.2,499.07
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,17.01,17.09
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,17.49,17.5
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,17.81,17.95
"Timed GCC Compilation - Time To Compile (sec)",LIB,918.832,918.938
"Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,323.861,
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,,
"Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,,
"Timed Node.js Compilation - Time To Compile (sec)",LIB,,
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.931,4.912
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,10.181,10.225
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,15.108,15.237
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,33.291,33.094
"Whisper.cpp - Model: ggml-base.en - Input: 2016 State of the Union (sec)",LIB,244.72794,246.69041
"Whisper.cpp - Model: ggml-small.en - Input: 2016 State of the Union (sec)",LIB,820.19569,818.91356
"Whisper.cpp - Model: ggml-medium.en - Input: 2016 State of the Union (sec)",LIB,2723.0535,2736.77075
"Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,19.126,19.121
"Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,62.939,63.059