Xeon Max Linux 6.9 Kernel Benchmarks

2 x Intel Xeon Max 9480 benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2404031-NE-XEONMAXLI10
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Timed Code Compilation 3 Tests
C/C++ Compiler Tests 4 Tests
Compression Tests 2 Tests
CPU Massive 14 Tests
Creator Workloads 17 Tests
Database Test Suite 2 Tests
Encoding 4 Tests
Game Development 3 Tests
HPC - High Performance Computing 7 Tests
Imaging 3 Tests
Common Kernel Benchmarks 3 Tests
Large Language Models 2 Tests
Machine Learning 6 Tests
Multi-Core 19 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 6 Tests
Programmer / Developer System Benchmarks 3 Tests
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Server CPU Tests 8 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

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Linux 6.8
March 29
  1 Day, 19 Hours, 46 Minutes
Linux 6.9-rc2
April 01
  1 Day, 17 Hours, 48 Minutes
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Xeon Max Linux 6.9 Kernel Benchmarks 2 x Intel Xeon Max 9480 benchmarks for a future article. ,,"Linux 6.8","Linux 6.9-rc2" Processor,,2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads),2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads) Motherboard,,Supermicro SYS-221H-TNR X13DEM v1.10 (1.3 BIOS),Supermicro SYS-221H-TNR X13DEM v1.10 (1.3 BIOS) Chipset,,Intel Device 1bce,Intel Device 1bce Memory,,512GB,512GB Disk,,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ Graphics,,ASPEED,ASPEED Network,,2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb,2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb OS,,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.8.0-060800-generic (x86_64),6.9.0-060900rc2-generic (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server 1.21.1.7,X Server 1.21.1.7 Compiler,,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4 Screen Resolution,,1024x768,1024x768 ,,"Linux 6.8","Linux 6.9-rc2" "MariaDB mariadb-slap - Clients: 1024 (Queries/sec)",HIB,34,36 "MariaDB mariadb-slap - Clients: 512 (Queries/sec)",HIB,86,86 "Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,6677333,6689667 "Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,8425444,8129143 "Stockfish - Chess Benchmark (Nodes/s)",HIB,61999717,64443099 "Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec)",HIB,0.36,0.37 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,42.74,40.20 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,271.99,279.74 "Speedb - Test: Sequential Fill (Op/s)",HIB,327637,330167 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,44.80,44.24 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,3906839,3991802 "Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,1.99,2.49 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,102.9501,98.8690 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,35.30,34.86 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.902,4.936 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,1.84,1.56 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,84678420667,81678284176 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,70.10,70.53 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14836,15415 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,47.03,47.96 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,202.37,203.63 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.07,0.07 "Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,1.48,1.53 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1801,1774 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,112.43,113.99 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,1.88,1.90 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,0.79,0.77 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,307.502,311.745 "oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,4821.32,10195.75 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.38,0.38 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,121702.12,119735.57 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,9.847,9.524 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,11.50,11.51 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,569,570 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,122.236,112.428 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,8.22351,8.90936 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,747.084,668.699 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,1.35994,1.50300 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,6.03604,6.57623 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,167.343,154.205 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,70.9566,65.9960 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,14.2656,15.4110 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,42.7819,41.5048 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,23.4613,24.2328 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7402,7506 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,9.01538,8.23121 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,111.5706,122.601 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,5.41191,5.10755 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,185.294,196.076 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,61363,61162 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,76.20,75.56 "JPEG-XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,34.604,34.187 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,72172,73367 "Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,6814667,6916667 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,59852,58995 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,45.60,46.56 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,24.12,24.80 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,22.31,22.24 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,13867,13807 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,42.76,42.77 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,42.94,42.88 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2108,2164 "Llamafile - Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU (Tokens/sec)",HIB,4.50,4.58 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.78,0.71 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,67789.25,73754.74 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,9.80514,9.46496 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,101.901,105.7827 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,2.89501,2.48234 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,353.573,402.669 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,96.31,97.53 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,3.42357,3.40972 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,292.173,293.029 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.84807,1.74973 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,541.827,571.190 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.88181,4.67811 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,205.414,213.737 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,29940735740,29665499053 "JPEG-XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,32.477,33.045 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,135.18,128.71 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,10.50412,10.8236 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,10.70212,10.5090 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,29.2815,29.0693 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1861,1839 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,36.4359,37.4335 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,39.8177,36.5030 "Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,31442.69,31460.42 "Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,30377557.97,29814480.67 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,143967.24,147978.33 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,231.284,184.785 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,4.43649,5.41259 "oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,748.495,753.364 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,6169.36,6427.33 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,80643523.24,85035507.55 "Speedb - Test: Read Random Write Random (Op/s)",HIB,1181758,1175562 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,384748.54,392750.09 "Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,204365411.59,200468629.32 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,35317,35422 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,58.50,58.83 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,40657,39794 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,17006.8,16877.6 "CacheBench - Test: Read (MB/s)",HIB,13344.699620,13341.467325 "CacheBench - Test: Read / Modify / Write (MB/s)",HIB,99112.699260,98711.076947 "CacheBench - Test: Write (MB/s)",HIB,93036.302415,93862.763311 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,38.09,39.37 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,24.2805,25.1712 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,63514,63529 "Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,234669.74,230503.34 "Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,29600.02,29139.60 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,688.26,688.76 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,36.6011,35.0788 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,31.5957,32.8297 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,35.4033,35.6507 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,33.986,33.094 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,1.06,1.04 "JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,32.562,33.888 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,9592.3,9602.7 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,3468957.59,3346567.80 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,29.7336,28.8754 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,17204,16687 "Timed Mesa Compilation - Time To Compile (sec)",LIB,19.511,19.888 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,6.05,5.98 "Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,5874353.63,5908316.03 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,5.865,5.760 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,32361.2,33015.5 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,13.416,13.335 "Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,39599.26,35919.64 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,8732,8552 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,17859304.38,18740350.56 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6909,6804 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,17.245,17.283 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,2120844,2068588 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,501,489 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,163551396.40,161652700.09 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,38.462,37.698 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,4.05,3.89 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,26732.88,27790.24 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.34,0.33 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,48.943,48.568 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,2.28,2.23 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,723.16,711.74 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,337.21,337.78 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,331.23,330.73 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,23.68,23.97 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,4621.32,4600.95 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,21085.10,20605.39 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,17.52,17.58 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,6336.78,6306.42 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,307.74,302.77 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,119.92,121.93 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,77.34,77.57 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,1446.42,1442.21 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,81.90,79.23 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,451.13,466.45 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,82.87,79.00 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,445.90,467.79 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,9.59,9.65 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,11638.51,11564.78 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,21.82,22.02 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,54.98,54.83 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,671.66,673.46 "oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,18.3377,18.0275 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,22.06,22.12 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,5067.40,5052.71 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,346.10,341.97 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,36.28,35.14 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,1018.47,1051.30 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,42.6833,43.1511 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,23.4276,23.1727 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,30.8209,29.1107 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,32.4503,34.3512 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,9.92,9.89 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,11260.98,11295.92 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,38.8350,35.7348 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,6.85,6.76 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,16147.57,16349.05 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,7.17,7.14 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,15532.54,15589.59 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,14.58,13.89 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,2530.04,2656.42 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,30.85,31.01 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,3626.41,3608.21 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,92.7467,94.3330 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,10.7817,10.6006 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,126.384,124.376 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,7.91321,8.04142 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,29.61,30.20 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,3777.56,3704.38 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,59.6021,56.9478 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,16.7832,17.5623 "Speedb - Test: Random Fill (Op/s)",HIB,326499,322816 "Speedb - Test: Random Fill Sync (Op/s)",HIB,257446,259603 "Speedb - Test: Update Random (Op/s)",HIB,292180,293414 "RocksDB - Test: Overwrite (Op/s)",HIB,388010,391968 "RocksDB - Test: Update Random (Op/s)",HIB,359825,361502 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,10.6098,10.5119 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,94.2487,95.1441 "Speedb - Test: Random Read (Op/s)",HIB,380419389,375837479 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,6.55011,6.51127 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,152.635,153.564 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,1358616.4,1396904.0 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,38204.6,38147.4 "RocksDB - Test: Random Read (Op/s)",HIB,360498518,361586083 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,20343491.52,19390362.90 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,466,478 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,53.98,53.82 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,213.35,210.71 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,495.72,471.88 "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,181.51,182.12 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,6.483,6.202 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,34412,34953 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.64,0.61 "Hackbench - Count: 16 - Type: Thread (sec)",LIB,14.679,14.298 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,15.913,16.152 "JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,30.969,30.128 "Primesieve - Length: 1e13 (sec)",LIB,39.619,39.461 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,127.202,126.187 "oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,4.50055,4.51166 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,482.62,487.60 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,33002.2,32993.8 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,32856.3,32826.1 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,123.246,123.098 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,32860.8,33072.5 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,18.662,18.934 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,12.085,11.764 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,36096.6,36180.7 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,28490133.28,28934422.16 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,47927.75,46123.32 "Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,9670.37,9446.07 "Stress-NG - Test: Mixed Scheduler (Bogo Ops/s)",HIB,70407.96,70036.20 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,1866.58,1858.70 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,154589461.19,150005776.47 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,202073.08,200671.70 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,1798203.12,1900682.08 "Stress-NG - Test: Poll (Bogo Ops/s)",HIB,10389186.02,10232390.41 "Stress-NG - Test: Hash (Bogo Ops/s)",HIB,17071694.52,17199190.09 "Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,810.19,808.99 "Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,576905.92,569593.00 "Hackbench - Count: 32 - Type: Process (sec)",LIB,24.748,27.994 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,3537.0,3492.0 "LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,32.61,32.66 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,3364.8,3349.6 "LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,98.43,98.41 "JPEG-XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,386.232,381.657 "LZ4 Compression - Compression Level: 1 - Decompression Speed (MB/s)",HIB,3601.0,3628.0 "LZ4 Compression - Compression Level: 1 - Compression Speed (MB/s)",HIB,602.69,602.54 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,5.90,5.65 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,17.23,18.28 "JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,25.666,25.607 "JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,26.002,25.960 "oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,9.00621,8.81043 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,662.4,650.8 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,2.32,2.22 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,2.933717,2.926551 "Hackbench - Count: 16 - Type: Process (sec)",LIB,13.112,13.357 "WavPack Audio Encoding - WAV To WavPack (sec)",LIB,6.349,6.340 "oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,4.79853,4.84245 "Google Draco - Model: Church Facade (ms)",LIB,7747,7762 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,8.35,8.45 "oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,6.16576,5.78202 "Primesieve - Length: 1e12 (sec)",LIB,3.356,3.299 "Google Draco - Model: Lion (ms)",LIB,6129,6054