RTX 4070 SUPER

Intel Core i9-13900K testing with a ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS) and ASUS NVIDIA GeForce RTX 4070 SUPER 12GB on EndeavourOS 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 2401252-NE-RTX4070SU41
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
NVIDIA RTX 4070 SUPER
January 25
  5 Minutes
RTX 4070 SUPER
January 26
  5 Minutes
Invert Hiding All Results Option
  5 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


{ "title": "RTX 4070 SUPER", "last_modified": "2024-01-26 00:38:33", "description": "Intel Core i9-13900K testing with a ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS) and ASUS NVIDIA GeForce RTX 4070 SUPER 12GB on EndeavourOS rolling via the Phoronix Test Suite.", "systems": { "NVIDIA RTX 4070 SUPER": { "identifier": "NVIDIA RTX 4070 SUPER", "hardware": { "Processor": "Intel Core i9-13900K @ 5.50GHz (24 Cores \/ 32 Threads)", "Motherboard": "ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS)", "Chipset": "Intel Device 7a27", "Memory": "32GB", "Disk": "4001GB Seagate ZP4000GP304001", "Graphics": "ASUS NVIDIA GeForce RTX 4070 SUPER 12GB", "Audio": "Realtek ALC1220", "Monitor": "ARZOPA", "Network": "Intel I226-V + Intel Device 7a70" }, "software": { "OS": "EndeavourOS rolling", "Kernel": "6.7.1-arch1-1 (x86_64)", "Desktop": "KDE Plasma 5.27.10", "Display Server": "X Server 1.21.1.11", "Display Driver": "NVIDIA 550.40.07", "OpenGL": "4.6.0", "OpenCL": "OpenCL 3.0 CUDA 12.4.74", "Compiler": "GCC 13.2.1 20230801", "File-System": "ext4", "Screen Resolution": "1920x1080" }, "user": "test", "timestamp": "2024-01-25 21:36:16", "client_version": "10.8.4", "data": { "compiler-configuration": "--disable-libssp --disable-libstdcxx-pch --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-languages=ada,c,c++,d,fortran,go,lto,objc,obj-c++ --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=\/usr\/share\/man --with-build-config=bootstrap-lto --with-linker-hash-style=gnu", "cpu-scaling-governor": "intel_pstate powersave (EPP: balance_performance)", "cpu-microcode": "0x11d", "bar1-visible-vram": "16384 MiB", "vbios-version": "95.04.69.00.c1", "kernel-extra-details": "Transparent Huge Pages: always", "security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced \/ Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected" } }, "RTX 4070 SUPER": { "identifier": "RTX 4070 SUPER", "hardware": { "Processor": "Intel Core i9-13900K @ 5.50GHz (24 Cores \/ 32 Threads)", "Motherboard": "ASUS TUF GAMING Z790-PRO WIFI (1401 BIOS)", "Chipset": "Intel Device 7a27", "Memory": "32GB", "Disk": "4001GB Seagate ZP4000GP304001", "Graphics": "ASUS NVIDIA GeForce RTX 4070 SUPER 12GB", "Audio": "Realtek ALC1220", "Monitor": "ARZOPA", "Network": "Intel I226-V + Intel Device 7a70" }, "software": { "OS": "EndeavourOS rolling", "Kernel": "6.7.1-arch1-1 (x86_64)", "Desktop": "KDE Plasma 5.27.10", "Display Server": "X Server 1.21.1.11", "Display Driver": "NVIDIA 550.40.07", "OpenGL": "4.6.0", "OpenCL": "OpenCL 3.0 CUDA 12.4.74", "Compiler": "GCC 13.2.1 20230801", "File-System": "ext4", "Screen Resolution": "1920x1080" }, "user": "test", "timestamp": "2024-01-26 00:26:38", "client_version": "10.8.4", "data": { "cpu-scaling-governor": "intel_pstate powersave (EPP: balance_performance)", "cpu-microcode": "0x11d", "kernel-extra-details": "Transparent Huge Pages: always", "python": "Python 3.11.6", "security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced \/ Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected" } } }, "results": { "e10d3796eee2280c06dbf44f3c3c28b6a1461a45": { "identifier": "pts\/opencl-benchmark-1.0.0", "title": "ProjectPhysX OpenCL-Benchmark", "app_version": "1.2", "description": "Operation: FP64 Compute", "scale": "TFLOPs\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "value": 0.620999999999999996447286321199499070644378662109375, "raw_values": [ 0.62199999999999999733546474089962430298328399658203125, 0.620999999999999996447286321199499070644378662109375, 0.620999999999999996447286321199499070644378662109375 ], "test_run_times": [ 12.4399999999999995026200849679298698902130126953125, 12.1099999999999994315658113919198513031005859375, 11.839999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pthread -lOpenCL" } } } } }, "a17e7508f7dd984761dbdc81dbfa5175fcb15e02": { "identifier": "pts\/opencl-benchmark-1.0.0", "title": "ProjectPhysX OpenCL-Benchmark", "app_version": "1.2", "description": "Operation: FP32 Compute", "scale": "TFLOPs\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "value": 38.59400000000000119371179607696831226348876953125, "raw_values": [ 38.5319999999999964757080306299030780792236328125, 38.62400000000000233058017329312860965728759765625, 38.625 ], "test_run_times": [ 12.4399999999999995026200849679298698902130126953125, 12.1099999999999994315658113919198513031005859375, 11.839999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pthread -lOpenCL" } } } } }, "3f2e21afa184aff127ff1985d65c7ca106cbc526": { "identifier": "pts\/opencl-benchmark-1.0.0", "title": "ProjectPhysX OpenCL-Benchmark", "app_version": "1.2", "description": "Operation: INT64 Compute", "scale": "TIOPs\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "value": 4.2140000000000004121147867408581078052520751953125, "raw_values": [ 4.19200000000000017053025658242404460906982421875, 4.20699999999999985078602549037896096706390380859375, 4.2430000000000003268496584496460855007171630859375 ], "test_run_times": [ 12.4399999999999995026200849679298698902130126953125, 12.1099999999999994315658113919198513031005859375, 11.839999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pthread -lOpenCL" } } } } }, "c151dcfa0a037eeffebe1fd1c81b96f5524a6748": { "identifier": "pts\/opencl-benchmark-1.0.0", "title": "ProjectPhysX OpenCL-Benchmark", "app_version": "1.2", "description": "Operation: INT32 Compute", "scale": "TIOPs\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "value": 19.888999999999999346300683100707828998565673828125, "raw_values": [ 19.891999999999999459987520822323858737945556640625, 19.885999999999999232613845379091799259185791015625, 19.8900000000000005684341886080801486968994140625 ], "test_run_times": [ 12.4399999999999995026200849679298698902130126953125, 12.1099999999999994315658113919198513031005859375, 11.839999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pthread -lOpenCL" } } } } }, "fd0995676d93d60aa8b02335664d033a94e81651": { "identifier": "pts\/opencl-benchmark-1.0.0", "title": "ProjectPhysX OpenCL-Benchmark", "app_version": "1.2", "description": "Operation: INT16 Compute", "scale": "TIOPs\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "value": 17.1700000000000017053025658242404460906982421875, "raw_values": [ 17.166000000000000369482222595252096652984619140625, 17.1700000000000017053025658242404460906982421875, 17.175000000000000710542735760100185871124267578125 ], "test_run_times": [ 12.4399999999999995026200849679298698902130126953125, 12.1099999999999994315658113919198513031005859375, 11.839999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pthread -lOpenCL" } } } } }, "f03b9e83f4096d65ab0592f17cee3d1d5a127299": { "identifier": "pts\/opencl-benchmark-1.0.0", "title": "ProjectPhysX OpenCL-Benchmark", "app_version": "1.2", "description": "Operation: INT8 Compute", "scale": "TIOPs\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "value": 14.3070000000000003836930773104541003704071044921875, "raw_values": [ 14.3040000000000002700062395888380706310272216796875, 14.3879999999999999005240169935859739780426025390625, 14.2289999999999992041921359486877918243408203125 ], "test_run_times": [ 12.4399999999999995026200849679298698902130126953125, 12.1099999999999994315658113919198513031005859375, 11.839999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pthread -lOpenCL" } } } } }, "4ae10f37e7419747dc0b7d7b65543774abcf274d": { "identifier": "pts\/opencl-benchmark-1.0.0", "title": "ProjectPhysX OpenCL-Benchmark", "app_version": "1.2", "description": "Operation: Memory Bandwidth Coalesced Read", "scale": "GB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "value": 464.8600000000000136424205265939235687255859375, "raw_values": [ 464.8700000000000045474735088646411895751953125, 464.83999999999997498889570124447345733642578125, 464.8600000000000136424205265939235687255859375 ], "test_run_times": [ 12.4399999999999995026200849679298698902130126953125, 12.1099999999999994315658113919198513031005859375, 11.839999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pthread -lOpenCL" } } } } }, "6aad1730fd02e224963db93bc591dd617ae892d8": { "identifier": "pts\/opencl-benchmark-1.0.0", "title": "ProjectPhysX OpenCL-Benchmark", "app_version": "1.2", "description": "Operation: Memory Bandwidth Coalesced Write", "scale": "GB\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "value": 455.009999999999990905052982270717620849609375, "raw_values": [ 455.08999999999997498889570124447345733642578125, 454.740000000000009094947017729282379150390625, 455.19999999999998863131622783839702606201171875 ], "test_run_times": [ 12.4399999999999995026200849679298698902130126953125, 12.1099999999999994315658113919198513031005859375, 11.839999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pthread -lOpenCL" } } } } }, "555cafef55637b2dd391ab1fb36c6b9adfe05fc5": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 1 resnet50", "description": "Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "NVIDIA RTX 4070 SUPER": { "test_run_times": [ 0.059999999999999997779553950749686919152736663818359375, 0.05000000000000000277555756156289135105907917022705078125, 0.040000000000000000832667268468867405317723751068115234375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'torch.library'" } }, "RTX 4070 SUPER": { "test_run_times": [ 1.649999999999999911182158029987476766109466552734375, 0.56999999999999995115018691649311222136020660400390625, 3.04000000000000003552713678800500929355621337890625 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: TypeError: 'NoneType' object is not callable" } } } }, "a2f93a29e145773f6214ec2710e4d7b2dd117ac9": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 1 resnet152", "description": "Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 201.93999999999999772626324556767940521240234375, "raw_values": [ 201.9364394208799922125763259828090667724609375 ], "min_result": [ "183.53" ], "max_result": [ "206.5" ], "test_run_times": [ 0.81999999999999995115018691649311222136020660400390625, 8.089999999999999857891452847979962825775146484375, 1.9499999999999999555910790149937383830547332763671875, 1.5500000000000000444089209850062616169452667236328125, 2.410000000000000142108547152020037174224853515625 ] } } }, "321471a5ece57acb32ce2a2494727510730ee10d": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 16 resnet50", "description": "Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 509.44999999999998863131622783839702606201171875, "raw_values": [ 509.4471999698599802286480553448200225830078125 ], "min_result": [ "430.1" ], "max_result": [ "516.48" ], "test_run_times": [ 2.220000000000000195399252334027551114559173583984375, 2.189999999999999946709294817992486059665679931640625, 6.5999999999999996447286321199499070644378662109375, 0.34999999999999997779553950749686919152736663818359375, 1.5900000000000000799360577730112709105014801025390625 ] } } }, "93919f2759dbb97b0c1edff055030a44d488d431": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 32 resnet50", "description": "Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "test_run_times": [ 0.57999999999999996003197111349436454474925994873046875, 0.84999999999999997779553950749686919152736663818359375, 0.5100000000000000088817841970012523233890533447265625 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: UnboundLocalError: cannot access local variable 'aa' where it is not associated with a value" } } } }, "04d89727880757dc4b48a40f818ce22d940493d0": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 64 resnet50", "description": "Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 507.44999999999998863131622783839702606201171875, "raw_values": [ 505.65741375953001579546253196895122528076171875, 508.7181199240400246708304621279239654541015625, 507.97130629643999100153450854122638702392578125 ], "min_result": [ "423.41" ], "max_result": [ "512.88" ], "test_run_times": [ 6.589999999999999857891452847979962825775146484375, 0.5500000000000000444089209850062616169452667236328125, 4.25, 6.55999999999999960920149533194489777088165283203125, 6.57000000000000028421709430404007434844970703125 ] } } }, "cd8fa885bf5123c844f388ab275b9bd9cd063349": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 16 resnet152", "description": "Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "test_run_times": [ 0.810000000000000053290705182007513940334320068359375, 0.81999999999999995115018691649311222136020660400390625, 0.460000000000000019984014443252817727625370025634765625 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: AttributeError: 'list_iterator' object has no attribute 'kind'" } } } }, "0fcb6376e0f1b1ecd51728e111826784d5fa7b5e": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 256 resnet50", "description": "Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "test_run_times": [ 0.810000000000000053290705182007513940334320068359375, 0.56999999999999995115018691649311222136020660400390625, 3.2599999999999997868371792719699442386627197265625 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: TypeError: 'NoneType' object is not callable" } } } }, "f17305a01e77a1f3f9d50be7945a9e35ab5a3df4": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 32 resnet152", "description": "Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 195.3899999999999863575794734060764312744140625, "raw_values": [ 195.3878718113300010372768156230449676513671875 ], "min_result": [ "183.94" ], "max_result": [ "198.7" ], "test_run_times": [ 0.7800000000000000266453525910037569701671600341796875, 13.75, 1.9699999999999999733546474089962430298328399658203125, 0.5300000000000000266453525910037569701671600341796875, 0.67000000000000003996802888650563545525074005126953125 ] } } }, "ed52d1ab2c195339d63f4fb1dd8bc37febabacc9": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 512 resnet50", "description": "Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 504.26999999999998181010596454143524169921875, "raw_values": [ 499.83942473782002480220398865640163421630859375, 508.69919302358999857460730709135532379150390625 ], "min_result": [ "418.22" ], "max_result": [ "512.44" ], "test_run_times": [ 0.66000000000000003108624468950438313186168670654296875, 6.6699999999999999289457264239899814128875732421875, 0.4899999999999999911182158029987476766109466552734375, 2.100000000000000088817841970012523233890533447265625, 6.54000000000000003552713678800500929355621337890625 ] } } }, "79e4b68ced37125f65248810f570dc0dd19adcbc": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 64 resnet152", "description": "Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "test_run_times": [ 0.61999999999999999555910790149937383830547332763671875, 1.939999999999999946709294817992486059665679931640625, 0.5500000000000000444089209850062616169452667236328125 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: UnboundLocalError: cannot access local variable 'aa' where it is not associated with a value" } } } }, "9c34bf4b6e4fea3cdb7fdd0f3cf719f861bb7fb8": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 256 resnet152", "description": "Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 194.580000000000012505552149377763271331787109375, "raw_values": [ 195.72387968301001137660932727158069610595703125, 193.44408664710999801172874867916107177734375 ], "min_result": [ "183.74" ], "max_result": [ "198.52" ], "test_run_times": [ 0.61999999999999999555910790149937383830547332763671875, 13.769999999999999573674358543939888477325439453125, 1.9499999999999999555910790149937383830547332763671875, 4.30999999999999960920149533194489777088165283203125, 13.92999999999999971578290569595992565155029296875 ] } } }, "61d7f7eefa11a28eeb6e197d6723d7fe61a2e1e4": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 512 resnet152", "description": "Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "test_run_times": [ 0.810000000000000053290705182007513940334320068359375, 0.84999999999999997779553950749686919152736663818359375, 1.9499999999999999555910790149937383830547332763671875 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status." } } } }, "25315953b4675ce88d53d553f515b38aced1bda7": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 1 efficientnet_v2_l", "description": "Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 106.3700000000000045474735088646411895751953125, "raw_values": [ 106.3705051719000067578235757537186145782470703125 ], "min_result": [ "97.91" ], "max_result": [ "108.16" ], "test_run_times": [ 13.269999999999999573674358543939888477325439453125, 0.4899999999999999911182158029987476766109466552734375, 1.95999999999999996447286321199499070644378662109375, 0.560000000000000053290705182007513940334320068359375, 2.0099999999999997868371792719699442386627197265625 ] } } }, "ae5e7532ec2ed68a88144f37a894e955cef84046": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 16 efficientnet_v2_l", "description": "Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "test_run_times": [ 0.460000000000000019984014443252817727625370025634765625, 0.61999999999999999555910790149937383830547332763671875, 1.5 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status." } } } }, "5ee484a0f120b3b195c2232ce2804c8068279582": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 32 efficientnet_v2_l", "description": "Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 102.599999999999994315658113919198513031005859375, "raw_values": [ 102.599180872619996307548717595636844635009765625 ], "min_result": [ "94.84" ], "max_result": [ "104.25" ], "test_run_times": [ 0.85999999999999998667732370449812151491641998291015625, 24.07000000000000028421709430404007434844970703125, 1.939999999999999946709294817992486059665679931640625, 0.64000000000000001332267629550187848508358001708984375, 1.0300000000000000266453525910037569701671600341796875 ] } } }, "296b232b71c064933ccd80b557f4da06590adc48": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 64 efficientnet_v2_l", "description": "Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "test_run_times": [ 0.65000000000000002220446049250313080847263336181640625, 1.3300000000000000710542735760100185871124267578125, 5.20999999999999996447286321199499070644378662109375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status." } } } }, "009ee282b26f7d58e64a2a3c80d90ffea81abe6a": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 256 efficientnet_v2_l", "description": "Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 103.1700000000000017053025658242404460906982421875, "raw_values": [ 103.170863606040001059227506630122661590576171875 ], "min_result": [ "95.79" ], "max_result": [ "105.15" ], "test_run_times": [ 24.010000000000001563194018672220408916473388671875, 0.81999999999999995115018691649311222136020660400390625, 0.60999999999999998667732370449812151491641998291015625, 21.620000000000000994759830064140260219573974609375, 1.9199999999999999289457264239899814128875732421875 ] } } }, "ee173b7573aa5301a39d9fd156bf9fefa00927bc": { "identifier": "pts\/pytorch-1.0.1", "title": "PyTorch", "app_version": "2.1", "arguments": "cuda 512 efficientnet_v2_l", "description": "Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l", "scale": "batches\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "RTX 4070 SUPER": { "value": 103.56999999999999317878973670303821563720703125, "raw_values": [ 103.57095408733999875039444305002689361572265625 ], "min_result": [ "95.95" ], "max_result": [ "105.54" ], "test_run_times": [ 0.5300000000000000266453525910037569701671600341796875, 23.96000000000000085265128291212022304534912109375, 2.0800000000000000710542735760100185871124267578125, 0.810000000000000053290705182007513940334320068359375, 0.560000000000000053290705182007513940334320068359375 ] } } } } }