decking

AMD Custom APU 0405 testing with a Valve Jupiter v1 (F7A0110 BIOS) and AMD Custom GPU 0405 1GB on SteamOS rolling via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2309052-NE-DECKING9724
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September 05 2023
  2 Hours, 1 Minute
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September 05 2023
  2 Hours, 1 Minute
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September 05 2023
  1 Hour, 47 Minutes
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deckingOpenBenchmarking.orgPhoronix Test SuiteAMD Custom APU 0405 @ 2.80GHz (4 Cores / 8 Threads)Valve Jupiter v1 (F7A0110 BIOS)AMD VanGogh Root Complex16GB512GB Phison ESMP512GKB4C3-E13TS + 1000GB RTL9210B-CGAMD Custom GPU 0405 1GB (1600/400MHz)AMD Rembrandt Radeon HD AudioANX7530 URealtek RTL8822CE 802.11ac PCIeSteamOS rolling5.13.0-valve36-1-neptune (x86_64)KDE Plasma 5.26.1X Server 1.21.1.34.6 Mesa 22.2.0 (git-17e5312102) (LLVM 14.0.6 DRM 3.45)1.3.238GCC 12.2.0ext41280x800ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionDecking BenchmarksSystem Logs- amdgpu.gttsize=8128 spi_amd.speed_dev=1 - Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8900201 - GLAMOR - BAR1 / Visible vRAM Size: 1024 MB - vBIOS Version: 113-AMDAerithJ-004 - OpenJDK Runtime Environment (build 11.0.17+1)- Python 3.10.8- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%104%108%112%116%Neural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparsevkpeakvkpeakvkpeakvkpeakvkpeakvkpeakvkpeakvkpeakvkpeakC.S.9.P.Y.P - A.M.SC.S.9.P.Y.P - A.M.SN.Q.A.B.b.u.S.1.P - A.M.SN.Q.A.B.b.u.S.1.P - A.M.SB.L.N.Q.A.S.I - S.S.SB.L.N.Q.A.S.I - S.S.SC.C.R.5.I - A.M.SC.C.R.5.I - A.M.SN.T.C.B.b.u.S.S.I - S.S.SN.T.C.B.b.u.S.S.I - S.S.SR.5.B - A.M.SR.5.B - A.M.SN.T.C.B.b.u.S - A.M.SN.T.C.B.b.u.S - A.M.SN.D.C.o.b.u.o.I - A.M.SN.D.C.o.b.u.o.I - A.M.SC.C.R.5.I - S.S.SC.C.R.5.I - S.S.SN.D.C.o.b.u.o.I - S.S.SN.D.C.o.b.u.o.I - S.S.SN.T.C.B.b.u.c - A.M.SN.T.C.B.b.u.c - A.M.SN.Q.A.B.b.u.S.1.P - S.S.SN.Q.A.B.b.u.S.1.P - S.S.SN.T.C.B.b.u.S.S.I - A.M.SN.T.C.B.b.u.S.S.I - A.M.SC.D.Y.C.S.I - A.M.SR.5.B - S.S.SR.5.B - S.S.SN.T.C.D.m - A.M.SC.D.Y.C.S.I - A.M.SN.T.C.D.m - A.M.SC.D.Y.C - A.M.SC.D.Y.C - A.M.SR.5.S.I - A.M.SC.S.9.P.Y.P - S.S.SC.S.9.P.Y.P - S.S.SR.5.S.I - A.M.SR.5.S.I - S.S.SR.5.S.I - S.S.SC.D.Y.C.S.I - S.S.SC.D.Y.C.S.I - S.S.SN.T.C.B.b.u.S - S.S.SN.T.C.B.b.u.S - S.S.SB.L.N.Q.A.S.I - A.M.SB.L.N.Q.A.S.I - A.M.SN.S.A.8.P.Q.B.B.U - S.S.SN.S.A.8.P.Q.B.B.U - S.S.SN.T.C.B.b.u.c - S.S.SN.T.C.B.b.u.c - S.S.SC.D.Y.C - S.S.SC.D.Y.C - S.S.SN.T.C.D.m - S.S.SN.T.C.D.m - S.S.SN.S.A.8.P.Q.B.B.U - A.M.SN.S.A.8.P.Q.B.B.U - A.M.Sfp32-vec4int32-vec4int16-vec4fp32-scalarfp16-vec4int16-scalarfp16-scalarint32-scalarfp64-scalar

deckingvkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4apache-iotdb: 100 - 1 - 500apache-iotdb: 100 - 1 - 500deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Synchronous Single-Streamdeepsparse: ResNet-50, Baseline - Synchronous Single-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Streamdeepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamcassandra: Writesvkpeak: fp64-vec4abc1638.241626.081638.62618.33102.02279.05326.931638.312620711045.256.12.1122940.70322.1732460.140253.70337.192550.184519.909921.308593.824818.178354.99576.423311.13246.0942164.075226.990274.061925.139339.7569188.960310.5418170.86815.832312.9044154.784812.333781.05332.7457724.88712.6313380.020426.579975.176224.573640.673713.1293152.072712.521579.845218.1143110.313315.639563.9222.2637878.31292.3648422.835227.718472.10825.772938.78519.9683200.45558.7687114.02712.1364932.30562.2291448.6054310811638.721626.61639.312618.49102.01279.13326.951638.912619.452.1213940.47322.1968455.187153.320437.459850.232719.890521.094794.749418.177754.99716.4754308.55926.1143163.534326.650475.003224.905140.1323188.310510.5794170.41275.848112.961154.122412.378380.761928.87269.213526.972337.059314.2177140.631113.50974.010619.2761103.592216.37761.04492.6289760.7242.556391.205629.844266.963728.55435.006711.0097181.62419.4427105.88742.2798877.23392.3896418.465629616102.031639.271628.051639.192619.64102.03279.16327.271639.042621.892.3264853.0762.3847419.324558.144634.352155.617417.962222.17990.137519.497651.27077.3794270.3246.6652150.014129.472767.827227.066236.9295203.55279.7887184.00445.414713.9757143.063313.175175.876529.507867.743926.972537.059214.2805140.012813.504874.03319.6773101.606116.483960.65032.5672778.47062.5558391.232529.810967.037628.707434.819510.9375182.69619.4377105.94192.342850.66842.3825419.7098102.06OpenBenchmarking.org

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-scalarabc4008001200160020001638.241638.721639.27

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-vec4abc300600900120015001626.081626.601628.05

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-scalarabc4008001200160020001638.601639.311639.19

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-vec4abc60012001800240030002618.332618.492619.64

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-scalarabc20406080100102.02102.01102.03

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-scalarabc60120180240300279.05279.13279.16

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-vec4abc70140210280350326.93326.95327.27

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-scalarabc4008001200160020001638.311638.911639.04

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-vec4abc60012001800240030002620.002619.452621.89

Apache IoTDB

Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200

a: The test quit with a non-zero exit status.

b: The test run did not produce a result.

c: The test run did not produce a result.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500a150K300K450K600K750K711045.2

Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500

b: The test run did not produce a result.

c: The test run did not produce a result.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.1.2Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500a132639526556.1MAX: 1675.14

Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500

a: The test run did not produce a result.

b: The test run did not produce a result.

c: The test run did not produce a result.

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamabc0.52341.04681.57022.09362.6172.11222.12132.3264

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamabc2004006008001000940.70940.47853.08

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamabc0.53661.07321.60982.14642.6832.17322.19682.3847

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamabc100200300400500460.14455.19419.32

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamabc132639526553.7053.3258.14

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamabc91827364537.1937.4634.35

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamabc122436486050.1850.2355.62

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamabc51015202519.9119.8917.96

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamabc51015202521.3121.0922.18

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamabc2040608010093.8294.7590.14

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamabc51015202518.1818.1819.50

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamabc122436486055.0055.0051.27

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamabc2468106.42306.47547.3794

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamabc70140210280350311.13308.56270.32

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streamabc2468106.09426.11436.6652

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streamabc4080120160200164.08163.53150.01

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamabc71421283526.9926.6529.47

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamabc2040608010074.0675.0067.83

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamabc61218243025.1424.9127.07

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamabc91827364539.7640.1336.93

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamabc4080120160200188.96188.31203.55

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamabc369121510.541810.57949.7887

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamabc4080120160200170.87170.41184.00

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamabc1.31582.63163.94745.26326.5795.83235.84815.4147

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamabc4812162012.9012.9613.98

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamabc306090120150154.78154.12143.06

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamabc369121512.3312.3813.18

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamabc2040608010081.0580.7675.88

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streama0.61781.23561.85342.47123.0892.7457

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streama160320480640800724.89

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status. E: OSError: [Errno 28] No space left on device

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Streama0.5921.1841.7762.3682.962.6313

Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Streama80160240320400380.02

Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamabc71421283526.5828.8729.51

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamabc2040608010075.1869.2167.74

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamabc61218243024.5726.9726.97

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamabc91827364540.6737.0637.06

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamabc4812162013.1314.2214.28

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamabc306090120150152.07140.63140.01

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamabc369121512.5213.5113.50

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamabc2040608010079.8574.0174.03

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamabc51015202518.1119.2819.68

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamabc20406080100110.31103.59101.61

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamabc4812162015.6416.3816.48

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamabc142842567063.9261.0460.65

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamabc0.59151.1831.77452.3662.95752.26372.62892.5672

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamabc2004006008001000878.31760.72778.47

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamabc0.57511.15021.72532.30042.87552.36482.55602.5558

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamabc90180270360450422.84391.21391.23

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamabc71421283527.7229.8429.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamabc163248648072.1166.9667.04

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamabc71421283525.7728.5528.71

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamabc91827364538.7935.0134.82

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamabc36912159.968311.009710.9375

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamabc4080120160200200.46181.62182.70

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streamabc36912158.76879.44279.4377

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streamabc306090120150114.03105.89105.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamabc0.5271.0541.5812.1082.6352.13642.27982.3420

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamabc2004006008001000932.31877.23850.67

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamabc0.53771.07541.61312.15082.68852.22912.38962.3825

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamabc100200300400500448.61418.47419.71

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesab7K14K21K28K35K3108129616

Test: Writes

c: The test run did not produce a result.

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-vec4bc20406080100102.03102.06

73 Results Shown

vkpeak:
  fp32-scalar
  fp32-vec4
  fp16-scalar
  fp16-vec4
  fp64-scalar
  int32-scalar
  int32-vec4
  int16-scalar
  int16-vec4
Apache IoTDB:
  100 - 1 - 500:
    point/sec
    Average Latency
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    items/sec
    ms/batch
  ResNet-50, Baseline - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  ResNet-50, Baseline - Synchronous Single-Stream:
    items/sec
    ms/batch
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  ResNet-50, Sparse INT8 - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO - Synchronous Single-Stream:
    items/sec
    ms/batch
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  BERT-Large, NLP Question Answering - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream:
    items/sec
    ms/batch
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    items/sec
    ms/batch
Apache Cassandra
vkpeak