dddxxx

Intel Core i7-8565U testing with a Dell 0KTW76 (1.17.0 BIOS) and Intel UHD 620 WHL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite.

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AV1 2 Tests
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HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 10 Tests
NVIDIA GPU Compute 2 Tests
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Programmer / Developer System Benchmarks 3 Tests
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August 05 2023
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dddxxx Intel Core i7-8565U testing with a Dell 0KTW76 (1.17.0 BIOS) and Intel UHD 620 WHL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 15GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.17.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 15GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 SQLite 3.41.2 Threads / Copies: 1 Seconds < Lower Is Better a . 30.33 |======================= b . 88.59 |==================================================================== SQLite 3.41.2 Threads / Copies: 2 Seconds < Lower Is Better a . 123.47 |================================================= b . 170.01 |=================================================================== SQLite 3.41.2 Threads / Copies: 4 Seconds < Lower Is Better a . 125.83 |================================================= b . 173.05 |=================================================================== vkpeak 20230730 fp32-scalar GFLOPS > Higher Is Better a . 268.33 |=================================================================== b . 268.33 |=================================================================== Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Low Frames Per Second > Higher Is Better a . 205.61 |=================================================================== b . 205.45 |=================================================================== Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better a . 91.11 |==================================================================== b . 90.91 |==================================================================== Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 77.93 |==================================================================== b . 77.52 |==================================================================== Xonotic 0.8.6 Resolution: 1920 x 1080 - Effects Quality: Ultimate Frames Per Second > Higher Is Better a . 59.17 |==================================================================== b . 58.95 |==================================================================== QuantLib 1.30 MFLOPS > Higher Is Better a . 2379.8 |================================================================== b . 2404.8 |=================================================================== libxsmm 2-1.17-3645 M N K: 128 GFLOPS/s > Higher Is Better a . 79.9 |================================================================== b . 83.7 |===================================================================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better a . 47.7 |===================================================================== b . 48.0 |===================================================================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better a . 90.9 |===================================================================== b . 90.8 |===================================================================== Z3 Theorem Prover 4.12.1 SMT File: 1.smt2 Seconds < Lower Is Better a . 43.97 |==================================================================== b . 43.42 |=================================================================== Z3 Theorem Prover 4.12.1 SMT File: 2.smt2 Seconds < Lower Is Better a . 130.94 |=================================================================== b . 131.41 |=================================================================== dav1d 1.2.1 Video Input: Chimera 1080p FPS > Higher Is Better a . 244.12 |================================================================== b . 249.62 |=================================================================== dav1d 1.2.1 Video Input: Summer Nature 4K FPS > Higher Is Better a . 67.01 |==================================================================== b . 66.38 |=================================================================== dav1d 1.2.1 Video Input: Summer Nature 1080p FPS > Higher Is Better a . 273.35 |=========================================================== b . 310.94 |=================================================================== dav1d 1.2.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better a . 191.30 |=================================================================== b . 190.87 |=================================================================== Embree 4.1 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 3.5218 |=================================================================== b . 3.4542 |================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 3.7369 |=================================================================== b . 3.6962 |================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 4.2183 |=================================================================== b . 4.1998 |=================================================================== Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 3.8229 |=================================================================== b . 3.8503 |=================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 4.7883 |=================================================================== b . 4.7636 |=================================================================== Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 4.1670 |=================================================================== b . 3.9923 |================================================================ SVT-AV1 1.6 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 1.092 |==================================================================== b . 0.948 |=========================================================== SVT-AV1 1.6 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 9.490 |==================================================================== b . 9.436 |==================================================================== SVT-AV1 1.6 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 35.50 |==================================================================== b . 28.98 |======================================================== SVT-AV1 1.6 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 34.05 |==================================================================== b . 30.98 |============================================================== SVT-AV1 1.6 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 4.260 |============================================================= b . 4.773 |==================================================================== SVT-AV1 1.6 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 35.74 |==================================================================== b . 31.01 |=========================================================== SVT-AV1 1.6 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 154.60 |================================================================== b . 157.69 |=================================================================== SVT-AV1 1.6 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 202.85 |================================================================== b . 206.77 |=================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 1.180 |==================================================================== b . 1.170 |=================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 2.693 |==================================================================== b . 2.672 |=================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 3.905 |==================================================================== b . 3.790 |================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 9.882 |==================================================================== b . 9.868 |==================================================================== Intel Open Image Denoise 2.0 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.12 |===================================================================== b . 0.12 |===================================================================== Intel Open Image Denoise 2.0 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.12 |===================================================================== b . 0.12 |===================================================================== Intel Open Image Denoise 2.0 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.06 |===================================================================== b . 0.06 |===================================================================== OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better a . 1.49334 |================================================================== b . 1.36920 |============================================================= OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better a . 1.37399 |================================================================== b . 1.34467 |================================================================= OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better a . 52.59 |==================================================================== b . 50.08 |================================================================= OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better a . 0.745146 |================================================================= b . 0.734783 |================================================================ OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better a . 0.622182 |========================================================= b . 0.709986 |================================================================= OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better a . 1.061640 |================================================================= b . 1.012953 |============================================================== Timed Godot Game Engine Compilation 4.0 Time To Compile Seconds < Lower Is Better a . 1372.60 |================================================================= b . 1384.77 |================================================================== Timed LLVM Compilation 16.0 Build System: Ninja Seconds < Lower Is Better a . 2892.09 |================================================================== b . 2908.88 |================================================================== Timed LLVM Compilation 16.0 Build System: Unix Makefiles Seconds < Lower Is Better a . 2967.53 |================================================================== b . 2929.91 |================================================================= Build2 0.15 Time To Compile Seconds < Lower Is Better a . 555.94 |================================================================= b . 569.61 |=================================================================== Opus Codec Encoding 1.4 WAV To Opus Encode Seconds < Lower Is Better a . 35.40 |==================================================================== b . 35.43 |==================================================================== Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 46516500 |================================================================= b . 46825000 |================================================================= Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 43429000 |================================================================= b . 43427500 |================================================================= Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 85550500 |================================================================= b . 85664000 |================================================================= Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 73795500 |================================================================= b . 73620500 |================================================================= Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 140280000 |================================================================ b . 139950000 |================================================================ Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 119590000 |================================================================ b . 112205000 |============================================================ Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better a . 177945000 |============================================================= b . 185540000 |================================================================ Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better a . 140345000 |================================================================ b . 132830000 |============================================================= Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 7721800 |================================================================== b . 7710850 |================================================================== Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 15179500 |================================================================= b . 15023500 |================================================================ Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 25830500 |================================================================= b . 25812500 |================================================================= Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better a . 35719000 |================================================================ b . 36523000 |================================================================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 529599.00 |================================================================ b . 524660.18 |=============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency > Higher Is Better a . 22.62 |=================================================================== b . 22.93 |==================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 996242.81 |============================================================== b . 1009840.28 |=============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency > Higher Is Better a . 34.81 |==================================================================== b . 34.48 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 816344.20 |================================================================ b . 812170.86 |================================================================ Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency > Higher Is Better a . 17.34 |==================================================================== b . 16.68 |================================================================= Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1333775.59 |=============================================================== b . 1298988.31 |============================================================= Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency > Higher Is Better a . 29.65 |==================================================================== b . 29.75 |==================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 1036429.93 |=============================================================== b . 1040683.13 |=============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency > Higher Is Better a . 15.75 |==================================================================== b . 15.11 |================================================================= Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 611157.73 |============================================================= b . 637041.62 |================================================================ Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency > Higher Is Better a . 75.40 |==================================================================== b . 70.46 |================================================================ Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 15017343.49 |============================================================ b . 15526243.84 |============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency > Higher Is Better a . 107.84 |=================================================================== b . 104.43 |================================================================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 13467917.31 |============================================================== b . 12006039.14 |======================================================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency > Higher Is Better a . 342.21 |=========================================================== b . 387.15 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 12613348.93 |============================================================== b . 12464073.00 |============================================================= Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency > Higher Is Better a . 144.53 |=================================================================== b . 143.24 |================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 8609112.97 |========================================================== b . 9394851.37 |=============================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency > Higher Is Better a . 550.47 |=================================================================== b . 485.93 |=========================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 8900311.03 |============================================================= b . 9246224.42 |=============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency > Higher Is Better a . 212.43 |=================================================================== b . 198.41 |=============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 4948660.19 |=============================================================== b . 4629287.79 |=========================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency > Higher Is Better a . 984.70 |=============================================================== b . 1026.93 |================================================================== Memcached 1.6.19 Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 525368.39 |================================================================ b . 518308.20 |=============================================================== Memcached 1.6.19 Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 502050.43 |================================================================ b . 486807.49 |============================================================== Memcached 1.6.19 Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 496309.76 |================================================================ b . 485922.63 |=============================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 2.3527 |=================================================================== b . 2.3352 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 855.68 |================================================================== b . 864.99 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 65.43 |==================================================================== b . 65.36 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 30.54 |==================================================================== b . 30.57 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 28.92 |==================================================================== b . 28.46 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 69.56 |=================================================================== b . 70.82 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 8.3009 |=================================================================== b . 8.2832 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 244.56 |=================================================================== b . 245.64 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 30.57 |==================================================================== b . 29.76 |================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 65.95 |================================================================== b . 68.00 |==================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 196.78 |=================================================================== b . 195.49 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 10.25 |=================================================================== b . 10.34 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 14.67 |==================================================================== b . 14.61 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 137.95 |================================================================== b . 139.05 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 2.6677 |======================================================= b . 3.2461 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 764.27 |=================================================================== b . 614.68 |====================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 29.66 |==================================================================== b . 28.96 |================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 68.05 |================================================================== b . 69.62 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 12.54 |================================================================== b . 12.95 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 162.16 |=================================================================== b . 154.26 |================================================================ Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 17.51 |========================================================= b . 20.73 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 116.27 |=================================================================== b . 98.71 |========================================================= Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 2.9815 |============================================================== b . 3.2320 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 669.18 |=================================================================== b . 628.36 |=============================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 21.30 |========================================== b . 34.32 |==================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 93.85 |==================================================================== b . 58.24 |========================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 9.4553 |======================================================== b . 11.1719 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 211.98 |=================================================================== b . 179.08 |========================================================= Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 2.0309 |========================================================= b . 2.3883 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 979.18 |=================================================================== b . 835.85 |========================================================= Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1039311.12 |=============================================== b . 1398883.01 |=============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1016703.27 |=============================================== b . 1372033.18 |=============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 1109812.44 |================================================ b . 1455171.86 |=============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 890374.23 |============================================= b . 1248610.70 |=============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 1028641.19 |=============================================== b . 1377833.48 |=============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 914462.02 |============================================== b . 1253523.69 |=============================================================== Stress-NG 0.15.10 Test: Hash Bogo Ops/s > Higher Is Better a . 523699.70 |==================================================== b . 638650.51 |================================================================ Stress-NG 0.15.10 Test: MMAP Bogo Ops/s > Higher Is Better a . 20.86 |================================================== b . 28.46 |==================================================================== Stress-NG 0.15.10 Test: NUMA Bogo Ops/s > Higher Is Better a . 53.95 |============================================================= b . 60.49 |==================================================================== Stress-NG 0.15.10 Test: Pipe Bogo Ops/s > Higher Is Better a . 1422109.84 |========================================================== b . 1533355.11 |=============================================================== Stress-NG 0.15.10 Test: Poll Bogo Ops/s > Higher Is Better a . 284300.80 |========================================================= b . 318466.50 |================================================================ Stress-NG 0.15.10 Test: Zlib Bogo Ops/s > Higher Is Better a . 273.05 |====================================================== b . 335.91 |=================================================================== Stress-NG 0.15.10 Test: Futex Bogo Ops/s > Higher Is Better a . 486078.68 |================================================== b . 624014.17 |================================================================ Stress-NG 0.15.10 Test: MEMFD Bogo Ops/s > Higher Is Better a . 56.59 |==================================================================== b . 43.09 |==================================================== Stress-NG 0.15.10 Test: Mutex Bogo Ops/s > Higher Is Better a . 604156.72 |======================================================== b . 694562.47 |================================================================ Stress-NG 0.15.10 Test: Atomic Bogo Ops/s > Higher Is Better a . 224.51 |============================================================ b . 249.99 |=================================================================== Stress-NG 0.15.10 Test: Crypto Bogo Ops/s > Higher Is Better a . 4590.53 |===================================================== b . 5684.53 |================================================================== Stress-NG 0.15.10 Test: Malloc Bogo Ops/s > Higher Is Better a . 375933.99 |======================================================= b . 434156.10 |================================================================ Stress-NG 0.15.10 Test: Cloning Bogo Ops/s > Higher Is Better a . 669.41 |=============================================================== b . 715.58 |=================================================================== Stress-NG 0.15.10 Test: Forking Bogo Ops/s > Higher Is Better a . 9551.79 |=================================================== b . 12140.60 |================================================================= Stress-NG 0.15.10 Test: Pthread Bogo Ops/s > Higher Is Better a . 34974.26 |====================================================== b . 42229.61 |================================================================= Stress-NG 0.15.10 Test: AVL Tree Bogo Ops/s > Higher Is Better a . 16.41 |========================================================== b . 19.30 |==================================================================== Stress-NG 0.15.10 Test: IO_uring Bogo Ops/s > Higher Is Better a . 170492.16 |============================================================ b . 182936.68 |================================================================ Stress-NG 0.15.10 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 36779.86 |======================================================= b . 43752.37 |================================================================= Stress-NG 0.15.10 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 929178.43 |=================================================== b . 1153192.75 |=============================================================== Stress-NG 0.15.10 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 7310.05 |============================================================= b . 7866.40 |================================================================== Stress-NG 0.15.10 Test: Semaphores Bogo Ops/s > Higher Is Better a . 3218725.51 |=============================================================== b . 3241408.21 |=============================================================== Stress-NG 0.15.10 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 17318.70 |================================================================= b . 17116.79 |================================================================ Stress-NG 0.15.10 Test: Vector Math Bogo Ops/s > Higher Is Better a . 12666.19 |================================================================= b . 12444.33 |================================================================ Stress-NG 0.15.10 Test: Function Call Bogo Ops/s > Higher Is Better a . 2058.70 |=============================================================== b . 2164.20 |================================================================== Stress-NG 0.15.10 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 3267.31 |================================================================== b . 3134.04 |=============================================================== Stress-NG 0.15.10 Test: Floating Point Bogo Ops/s > Higher Is Better a . 743.83 |================================================================= b . 762.86 |=================================================================== Stress-NG 0.15.10 Test: Matrix 3D Math Bogo Ops/s > Higher Is Better a . 383.49 |================================================================= b . 396.03 |=================================================================== Stress-NG 0.15.10 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 1078.73 |================================================================= b . 1088.75 |================================================================== Stress-NG 0.15.10 Test: Vector Shuffle Bogo Ops/s > Higher Is Better a . 2431.22 |================================================================== b . 2431.01 |================================================================== Stress-NG 0.15.10 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 2495.57 |================================================================== b . 2508.63 |================================================================== Stress-NG 0.15.10 Test: Wide Vector Math Bogo Ops/s > Higher Is Better a . 147314.85 |================================================================ b . 148388.79 |================================================================ Stress-NG 0.15.10 Test: Context Switching Bogo Ops/s > Higher Is Better a . 705297.96 |============================================================== b . 733269.79 |================================================================ Stress-NG 0.15.10 Test: Fused Multiply-Add Bogo Ops/s > Higher Is Better a . 2978232.73 |=============================================================== b . 2737483.30 |========================================================== Stress-NG 0.15.10 Test: Vector Floating Point Bogo Ops/s > Higher Is Better a . 7289.32 |============================================================= b . 7877.70 |================================================================== Stress-NG 0.15.10 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 2485856.07 |=============================================================== b . 2360589.10 |============================================================ Stress-NG 0.15.10 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 69.13 |=============================================================== b . 74.13 |==================================================================== Stress-NG 0.15.10 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 2652462.62 |=============================================================== b . 2519916.10 |============================================================ NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 25.93 |================================================================ b . 27.68 |==================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 6.69 |===================================================================== b . 6.15 |=============================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 5.14 |===================================================================== b . 4.31 |========================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 4.29 |===================================================================== b . 3.02 |================================================= NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 6.04 |===================================================================== b . 4.49 |=================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 9.78 |===================================================================== b . 9.43 |=================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 0.91 |==================================================================== b . 0.93 |===================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 16.23 |==================================================================== b . 16.19 |==================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 97.42 |=================================================================== b . 98.75 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 12.61 |==================================================================== b . 12.62 |==================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 11.68 |==================================================================== b . 11.64 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 36.02 |==================================================================== b . 34.33 |================================================================= NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 38.37 |================================================================== b . 39.31 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 16.55 |==================================================================== b . 15.80 |================================================================= NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 10.03 |=================================================================== b . 10.12 |==================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 233.96 |=================================================================== b . 232.17 |================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 5.39 |=================================================================== b . 5.55 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better a . 28.15 |==================================================================== b . 27.38 |================================================================== NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 6.67 |===================================================================== b . 6.67 |===================================================================== NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 5.11 |===================================================================== b . 5.11 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better a . 3.66 |===================================================================== b . 3.67 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better a . 5.23 |===================================================================== b . 5.26 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better a . 9.22 |==================================================================== b . 9.34 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better a . 0.94 |==================================================================== b . 0.96 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better a . 16.29 |==================================================================== b . 16.19 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better a . 97.70 |==================================================================== b . 96.26 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better a . 12.73 |==================================================================== b . 12.56 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better a . 11.67 |==================================================================== b . 11.69 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better a . 33.18 |=================================================================== b . 33.60 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better a . 39.39 |==================================================================== b . 39.17 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better a . 15.97 |==================================================================== b . 15.48 |================================================================== NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better a . 9.82 |================================================================ b . 10.41 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better a . 240.03 |=================================================================== b . 235.51 |================================================================== NCNN 20230517 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better a . 5.66 |===================================================================== b . 5.47 |=================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 26422 |==================================================================== b . 26438 |====================================================================