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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phoronix-test-suite benchmark 2308067-NE-DDDXXX42317
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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","b"
Processor,,Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads),Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)
Motherboard,,Dell 0KTW76 (1.17.0 BIOS),Dell 0KTW76 (1.17.0 BIOS)
Chipset,,Intel Cannon Point-LP,Intel Cannon Point-LP
Memory,,16GB,16GB
Disk,,SK hynix PC401 NVMe 256GB,SK hynix PC401 NVMe 256GB
Graphics,,Intel UHD 620 WHL GT2 15GB (1150MHz),Intel UHD 620 WHL GT2 15GB (1150MHz)
Audio,,Realtek ALC3271,Realtek ALC3271
Network,,Qualcomm Atheros QCA6174 802.11ac,Qualcomm Atheros QCA6174 802.11ac
OS,,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.19.0-rc6-phx-retbleed (x86_64),5.19.0-rc6-phx-retbleed (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 22.0.1,4.6 Mesa 22.0.1
OpenCL,,OpenCL 3.0,OpenCL 3.0
Vulkan,,1.3.204,1.3.204
Compiler,,GCC 11.3.0,GCC 11.4.0
File-System,,ext4,ext4
Screen Resolution,,1920x1080,1920x1080
,,"a","b"
"SQLite - Threads / Copies: 1 (sec)",LIB,30.327,88.585
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,21.2985,34.3231
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,93.8482,58.2368
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.29,3.02
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,890374.23,1248610.70
"SQLite - Threads / Copies: 2 (sec)",LIB,123.465,170.014
"SQLite - Threads / Copies: 4 (sec)",LIB,125.830,173.045
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,914462.02,1253523.69
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,20.86,28.46
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1016703.27,1372033.18
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1039311.12,1398883.01
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,6.04,4.49
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1028641.19,1377833.48
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,56.59,43.09
"Redis 7.0.12 + memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1109812.44,1455171.86
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,486078.68,624014.17
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,9551.79,12140.60
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,764.2676,614.6793
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,929178.43,1153192.75
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,4590.53,5684.53
"Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,273.05,335.91
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,35.497,28.978
"Stress-NG - Test: Hash (Bogo Ops/s)",HIB,523699.70,638650.51
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.6677,3.2461
"Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,34974.26,42229.61
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.14,4.31
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,36779.86,43752.37
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,211.9830,179.0772
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,17.5124,20.7264
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,9.4553,11.1719
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,116.2683,98.7143
"Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,16.41,19.3
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.0309,2.3883
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,979.1797,835.8517
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,375933.99,434156.10
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,35.739,31.014
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,1.092,0.948
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,604156.72,694562.47
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,0.622182,0.709986
"dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,273.35,310.94
"Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 (Latency)",HIB,550.47,485.93
"Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 (Latency)",HIB,342.21,387.15
"Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 (point/sec)",HIB,13467917.31,12006039.14
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,53.95,60.49
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,4.260,4.773
"Stress-NG - Test: Poll (Bogo Ops/s)",HIB,284300.80,318466.50
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,224.51,249.99
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,34.049,30.975
"Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 (point/sec)",HIB,8609112.97,9394851.37
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,1.49334,1.3692
"Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,2978232.73,2737483.30
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.69,6.15
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.9815,3.2320
"Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,7289.32,7877.70
"Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,1422109.84,1533355.11
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,7310.05,7866.4
"Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,170492.16,182936.68
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,69.13,74.13
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 (Latency)",HIB,212.43,198.41
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",HIB,75.4,70.46
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 (point/sec)",HIB,4948660.19,4629287.79
"Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,669.41,715.58
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,25.93,27.68
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,119590000,112205000
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,669.1809,628.3639
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,9.82,10.41
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,140345000,132830000
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,2485856.07,2360589.10
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,2652462.62,2519916.10
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,162.1647,154.2586
"Stress-NG - Test: Function Call (Bogo Ops/s)",HIB,2058.70,2164.20
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,52.5904,50.0829
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,36.02,34.33
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,1.06164,1.012953
"libxsmm - M N K: 128 (GFLOPS/s)",HIB,79.9,83.7
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,16.55,15.80
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,4.1670,3.9923
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 (Latency)",HIB,984.7,1026.93
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,177945000,185540000
"Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,3267.31,3134.04
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",HIB,15.75,15.11
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,611157.73,637041.62
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,705297.96,733269.79
"Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",HIB,17.34,16.68
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 (point/sec)",HIB,8900311.03,9246224.42
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,9.78,9.43
"NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,5.66,5.47
"Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 (point/sec)",HIB,15017343.49,15526243.84
"Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,383.49,396.03
"Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 (Latency)",HIB,107.84,104.43
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,12.5441,12.9502
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,15.97,15.48
"Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,502050.43,486807.49
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,65.9517,68.0003
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,3.905,3.790
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,5.39,5.55
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,28.15,27.38
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,30.5673,29.7603
"Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,1333775.59,1298988.31
"Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,743.83,762.86
"Build2 - Time To Compile (sec)",LIB,555.936,569.609
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,38.37,39.31
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,29.6585,28.9622
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,68.0491,69.6181
"dav1d - Video Input: Chimera 1080p (FPS)",HIB,244.12,249.62
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,35719000,36523000
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,0.91,0.93
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,1.37399,1.34467
"Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,496309.76,485922.63
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,0.94,0.96
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,154.597,157.692
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,3.5218,3.4542
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,202.852,206.769
"NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,240.03,235.51
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,69.5593,70.8213
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,12666.19,12444.33
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,28.9185,28.4640
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,97.70,96.26
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,0.745146,0.734783
"Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",HIB,22.62,22.93
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,97.42,98.75
"Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,996242.81,1009840.28
"Memcached - Set To Get Ratio: 1:5 (Ops/sec)",HIB,525368.39,518308.20
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,12.73,12.56
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,9.22,9.34
"Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,2967.528,2929.911
"Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,43.973,43.419
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,33.18,33.60
"Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 (point/sec)",HIB,12613348.93,12464073
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,17318.7,17116.79
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,3.7369,3.6962
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,855.6769,864.9932
"QuantLib - (MFLOPS)",HIB,2379.8,2404.8
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,15179500,15023500
"Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",HIB,34.81,34.48
"dav1d - Video Input: Summer Nature 4K (FPS)",HIB,67.01,66.38
"Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,529599,524660.18
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,1078.73,1088.75
"Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 (Latency)",HIB,144.53,143.24
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,10.03,10.12
"Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,1372.604,1384.766
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,10.2465,10.336
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,1.180,1.170
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,137.9489,139.0475
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,2.693,2.672
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,233.96,232.17
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.3527,2.3352
"Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,147314.85,148388.79
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,3.8229,3.8503
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,3218725.51,3241408.21
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,196.7843,195.4858
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,46516500,46825000
"libxsmm - M N K: 32 (GFLOPS/s)",HIB,47.7,48.0
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,16.29,16.19
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,2892.088,2908.878
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,5.23,5.26
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,9.490,9.436
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,39.39,39.17
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,77.9338736,77.5195887
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,2495.57,2508.63
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,4.7883,4.7636
"Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,816344.2,812170.86
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,14.6720,14.6069
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,244.5617,245.6430
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,4.2183,4.1998
"Apache IoTDB - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,1036429.93,1040683.13
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultimate (FPS)",HIB,59.1708882,58.9499391
"Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,130.941,131.405
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,11.68,11.64
"Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",HIB,29.65,29.75
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,3.66,3.67
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,16.23,16.19
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,73795500,73620500
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,140280000,139950000
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,91.1145989,90.9080095
"dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,191.30,190.87
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,8.3009,8.2832
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,11.67,11.69
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,7721800,7710850
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,9.882,9.868
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,85550500,85664000
"libxsmm - M N K: 64 (GFLOPS/s)",HIB,90.9,90.8
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,65.4250,65.3564
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,30.5398,30.5664
"Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,35.396,35.426
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,12.61,12.62
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Low (FPS)",HIB,205.6062326,205.4486260
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,25830500,25812500
"Apache Cassandra - Test: Writes (Op/s)",HIB,26422,26438
"Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,2431.22,2431.01
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,43429000,43427500
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.11,5.11
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.67,6.67
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.06,0.06
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.12,0.12
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.12,0.12
"vkpeak - fp32-scalar (GFLOPS)",HIB,268.33,268.33