Jetson AGX Xavier vs. Jetson TX2 TensorRT

NVIDIA Jetson TensorRT inference benchmarks by Michael Larabel for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1812240-SP-XAVIER80657
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
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

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
Jetson AGX Xavier
December 23 2018
  6 Hours, 30 Minutes
Jetson TX2
December 24 2018
  6 Hours, 26 Minutes
Invert Hiding All Results Option
  6 Hours, 28 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": "Jetson AGX Xavier vs. Jetson TX2 TensorRT", "last_modified": "2018-12-24 18:20:07", "description": "NVIDIA Jetson TensorRT inference benchmarks by Michael Larabel for a future article on Phoronix.", "systems": { "Jetson AGX Xavier": { "identifier": "Jetson AGX Xavier", "hardware": { "Processor": "ARMv8 rev 0 @ 2.27GHz (8 Cores)", "Motherboard": "jetson-xavier", "Memory": "16384MB", "Disk": "31GB HBG4a2", "Graphics": "NVIDIA Tegra Xavier", "Monitor": "ASUS VP28U" }, "software": { "OS": "Ubuntu 18.04", "Kernel": "4.9.108-tegra (aarch64)", "Desktop": "Unity 7.5.0", "Display Server": "X Server 1.19.6", "Display Driver": "NVIDIA 31.0.2", "OpenGL": "4.6.0", "Vulkan": "1.1.76", "Compiler": "GCC 7.3.0 + CUDA 10.0", "File-System": "ext4", "Screen Resolution": "1920x1080" }, "user": "system", "timestamp": "2018-12-23 16:20:19", "data": { "cpu-scaling-governor": "tegra_cpufreq schedutil" } }, "Jetson TX2": { "identifier": "Jetson TX2", "hardware": { "Processor": "ARMv8 rev 3 @ 2.04GHz (4 Cores \/ 6 Threads)", "Motherboard": "quill", "Memory": "8192MB", "Disk": "31GB 032G34", "Graphics": "NVIDIA Tegra X2", "Monitor": "VE228" }, "software": { "OS": "Ubuntu 16.04", "Kernel": "4.4.38-tegra (aarch64)", "Desktop": "Unity 7.4.0", "Display Server": "X Server 1.18.4", "Display Driver": "NVIDIA 28.2.1", "OpenGL": "4.5.0", "Compiler": "GCC 5.4.0 20160609 + CUDA 9.0", "File-System": "ext4", "Screen Resolution": "1920x1080" }, "user": "NVIDIA", "timestamp": "2018-12-24 11:20:49", "data": { "cpu-scaling-governor": "tegra_cpufreq schedutil" } } }, "results": { "15b7d46c131638ab172f2382aff3c4e341e52d5d": { "identifier": "system\/glmark2-1.0.0", "title": "GLmark2", "arguments": "-s 1920x1080", "description": "Resolution: 1920 x 1080", "scale": "Score", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 2861, "test_run_times": [ 334.220000000000027284841053187847137451171875 ] } } }, "e233081c904d0231c4bacbef9363f280cd5a9a33": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg16_N2.prototxt --fp16 --batch=4", "description": "Neural Network: VGG16 - Precision: FP16 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 195.44999999999998863131622783839702606201171875, "raw_values": [ 199.84800000000001318767317570745944976806640625, 183.1009999999999990905052982270717620849609375, 206.27699999999998681232682429254055023193359375, 203.436000000000007048583938740193843841552734375, 202.326999999999998181010596454143524169921875, 173.04599999999999226929503493010997772216796875, 203.366000000000013869794202037155628204345703125, 187.448000000000007503331289626657962799072265625, 203.92599999999998772182152606546878814697265625, 205.96199999999998908606357872486114501953125, 186.056000000000011596057447604835033416748046875, 190.55099999999998772182152606546878814697265625 ], "test_run_times": [ 43.31000000000000227373675443232059478759765625, 38.219999999999998863131622783839702606201171875, 41.1400000000000005684341886080801486968994140625, 42.2000000000000028421709430404007434844970703125, 39.3900000000000005684341886080801486968994140625, 46.27000000000000312638803734444081783294677734375, 39.97999999999999687361196265555918216705322265625, 40.75999999999999801048033987171947956085205078125, 46.9200000000000017053025658242404460906982421875, 39.219999999999998863131622783839702606201171875, 37.3900000000000005684341886080801486968994140625, 39.1700000000000017053025658242404460906982421875 ] }, "Jetson TX2": { "value": 32.2999999999999971578290569595992565155029296875, "raw_values": [ 31.909099999999998686917024315334856510162353515625, 32.8772000000000019781509763561189174652099609375, 32.1007000000000033423930290155112743377685546875 ], "test_run_times": [ 105.7699999999999960209606797434389591217041015625, 100.7099999999999937472239253111183643341064453125, 104.159999999999996589394868351519107818603515625 ] } } }, "5fa1c011a01677a3ad6bbd629519b200c210a5a4": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg16_N2.prototxt --fp16 --batch=8", "description": "Neural Network: VGG16 - Precision: FP16 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 215.68000000000000682121026329696178436279296875, "raw_values": [ 206.8990000000000009094947017729282379150390625, 221.2740000000000009094947017729282379150390625, 220.63200000000000500222085975110530853271484375, 208.02600000000001045918907038867473602294921875, 221.58899999999999863575794734060764312744140625 ], "test_run_times": [ 44.43999999999999772626324556767940521240234375, 42.24000000000000198951966012828052043914794921875, 43.18999999999999772626324556767940521240234375, 48.56000000000000227373675443232059478759765625, 48.840000000000003410605131648480892181396484375 ] }, "Jetson TX2": { "value": 33.67999999999999971578290569595992565155029296875, "raw_values": [ 33.54169999999999873807610129006206989288330078125, 34.1462999999999965439201332628726959228515625, 33.33919999999999816964191268198192119598388671875 ], "test_run_times": [ 128.56000000000000227373675443232059478759765625, 125.5, 125.31999999999999317878973670303821563720703125 ] } } }, "c20f3c140c1681d2b430dbbe8d90cf052372ace5": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg16_N2.prototxt --int8 --batch=4", "description": "Neural Network: VGG16 - Precision: INT8 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 286.6399999999999863575794734060764312744140625, "raw_values": [ 287.26999999999998181010596454143524169921875, 293.19900000000001227817847393453121185302734375, 279.44099999999997407940099947154521942138671875 ], "test_run_times": [ 70.409999999999996589394868351519107818603515625, 68.4899999999999948840923025272786617279052734375, 81.56999999999999317878973670303821563720703125 ] }, "Jetson TX2": { "value": 17.980000000000000426325641456060111522674560546875, "raw_values": [ 18.035399999999999209876477834768593311309814453125, 18.0390000000000014779288903810083866119384765625, 17.8659999999999996589394868351519107818603515625 ], "test_run_times": [ 108.5199999999999960209606797434389591217041015625, 109.9200000000000017053025658242404460906982421875, 109.590000000000003410605131648480892181396484375 ] } } }, "e9a6b32381f94ec11ffb162868e3665af409f14d": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg16_N2.prototxt --int8 --batch=8", "description": "Neural Network: VGG16 - Precision: INT8 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 341.19999999999998863131622783839702606201171875, "raw_values": [ 339.16100000000000136424205265939235687255859375, 341.596999999999979991116560995578765869140625, 342.85500000000001818989403545856475830078125 ], "test_run_times": [ 75.8599999999999994315658113919198513031005859375, 76.4899999999999948840923025272786617279052734375, 73.6200000000000045474735088646411895751953125 ] }, "Jetson TX2": { "value": 19.8900000000000005684341886080801486968994140625, "raw_values": [ 19.890100000000000335376171278767287731170654296875, 19.977199999999999846522769075818359851837158203125, 19.807500000000000994759830064140260219573974609375 ], "test_run_times": [ 131.539999999999992041921359486877918243408203125, 130.18999999999999772626324556767940521240234375, 132.460000000000007958078640513122081756591796875 ] } } }, "d54fc77fe57623d74b88b7326d6780d1b486a6c9": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg19_N2.prototxt --fp16 --batch=4", "description": "Neural Network: VGG19 - Precision: FP16 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 172.150000000000005684341886080801486968994140625, "raw_values": [ 174.082999999999998408384271897375583648681640625, 169.8079999999999927240423858165740966796875, 172.5529999999999972715158946812152862548828125 ], "test_run_times": [ 47.77000000000000312638803734444081783294677734375, 45.780000000000001136868377216160297393798828125, 49.0799999999999982946974341757595539093017578125 ] }, "Jetson TX2": { "value": 26.489999999999998436805981327779591083526611328125, "raw_values": [ 26.296800000000001062971932697109878063201904296875, 26.40299999999999869260136620141565799713134765625, 26.779900000000001369926394545473158359527587890625 ], "test_run_times": [ 116.900000000000005684341886080801486968994140625, 116.2000000000000028421709430404007434844970703125, 119.099999999999994315658113919198513031005859375 ] } } }, "4c377941a5b7ae7e7021f548812b6d869d495272": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg19_N2.prototxt --fp16 --batch=8", "description": "Neural Network: VGG19 - Precision: FP16 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 184.43000000000000682121026329696178436279296875, "raw_values": [ 179.885999999999995679900166578590869903564453125, 185.60300000000000864019966684281826019287109375, 187.81499999999999772626324556767940521240234375 ], "test_run_times": [ 49.530000000000001136868377216160297393798828125, 52.99000000000000198951966012828052043914794921875, 58.1099999999999994315658113919198513031005859375 ] }, "Jetson TX2": { "value": 27.019999999999999573674358543939888477325439453125, "raw_values": [ 26.98049999999999926103555480949580669403076171875, 26.805099999999999482724888366647064685821533203125, 27.271699999999999164401742746122181415557861328125 ], "test_run_times": [ 145.669999999999987494447850622236728668212890625, 145.56000000000000227373675443232059478759765625, 150.81999999999999317878973670303821563720703125 ] } } }, "4e755d20264b34eac65a3d1dbb539fb6ecc06be2": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg19_N2.prototxt --int8 --batch=4", "description": "Neural Network: VGG19 - Precision: INT8 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 262.17000000000001591615728102624416351318359375, "raw_values": [ 263.586000000000012732925824820995330810546875, 260.3419999999999845385900698602199554443359375, 262.58300000000002683009370230138301849365234375 ], "test_run_times": [ 85.7099999999999937472239253111183643341064453125, 79.349999999999994315658113919198513031005859375, 84.3900000000000005684341886080801486968994140625 ] }, "Jetson TX2": { "value": 14.6199999999999992184029906638897955417633056640625, "raw_values": [ 14.695499999999999118927007657475769519805908203125, 14.4303000000000007929656931082718074321746826171875, 14.73949999999999960209606797434389591217041015625 ], "test_run_times": [ 117.900000000000005684341886080801486968994140625, 117.3700000000000045474735088646411895751953125, 121.9899999999999948840923025272786617279052734375 ] } } }, "a730ce26e846c0620793dfaaf0050f00f93ec6cc": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg19_N2.prototxt --int8 --batch=8", "description": "Neural Network: VGG19 - Precision: INT8 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 296.93999999999999772626324556767940521240234375, "raw_values": [ 297.0629999999999881765688769519329071044921875, 294.4270000000000209183781407773494720458984375, 299.32400000000001227817847393453121185302734375 ], "test_run_times": [ 86.6200000000000045474735088646411895751953125, 83.909999999999996589394868351519107818603515625, 86.7099999999999937472239253111183643341064453125 ] }, "Jetson TX2": { "value": 16.019999999999999573674358543939888477325439453125, "raw_values": [ 16.118500000000000937916411203332245349884033203125, 15.923700000000000187583282240666449069976806640625, 16.00580000000000069348971010185778141021728515625 ], "test_run_times": [ 148.18999999999999772626324556767940521240234375, 147.770000000000010231815394945442676544189453125, 151.340000000000003410605131648480892181396484375 ] } } }, "d6811d2f483a6605746f55a5e9919a6c62676c69": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg16_N2.prototxt --fp16 --batch=16", "description": "Neural Network: VGG16 - Precision: FP16 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 228.75, "raw_values": [ 228.16599999999999681676854379475116729736328125, 226.248999999999995225152815692126750946044921875, 231.8220000000000027284841053187847137451171875 ], "test_run_times": [ 62.13000000000000255795384873636066913604736328125, 63.46000000000000085265128291212022304534912109375, 61.280000000000001136868377216160297393798828125 ] }, "Jetson TX2": { "value": 36.43999999999999772626324556767940521240234375, "raw_values": [ 36.276600000000001955413608811795711517333984375, 36.4052999999999968849806464277207851409912109375, 36.6417000000000001591615728102624416351318359375 ], "test_run_times": [ 177.330000000000012505552149377763271331787109375, 181.6299999999999954525264911353588104248046875, 181.3799999999999954525264911353588104248046875 ] } } }, "47a53c63b68c3eeff7295385ab7d29e38f3f1f36": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg16_N2.prototxt --fp16 --batch=32", "description": "Neural Network: VGG16 - Precision: FP16 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 246.759999999999990905052982270717620849609375, "raw_values": [ 247.094999999999998863131622783839702606201171875, 246.54599999999999226929503493010997772216796875, 246.6299999999999954525264911353588104248046875 ], "test_run_times": [ 84.3700000000000045474735088646411895751953125, 82.349999999999994315658113919198513031005859375, 82.349999999999994315658113919198513031005859375 ] }, "Jetson TX2": { "value": 37.24000000000000198951966012828052043914794921875, "raw_values": [ 37.3087000000000017507773009128868579864501953125, 36.9669999999999987494447850622236728668212890625, 37.44180000000000063664629124104976654052734375 ], "test_run_times": [ 277.81999999999999317878973670303821563720703125, 283.990000000000009094947017729282379150390625, 281.720000000000027284841053187847137451171875 ] } } }, "6fc30c48690543b86ea14fcd749035af85d65901": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg16_N2.prototxt --int8 --batch=16", "description": "Neural Network: VGG16 - Precision: INT8 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 381.32999999999998408384271897375583648681640625, "raw_values": [ 361.23300000000000409272615797817707061767578125, 432.86799999999999499777914024889469146728515625, 362.923000000000001818989403545856475830078125, 332.53800000000001091393642127513885498046875, 425.394000000000005456968210637569427490234375, 354.80099999999998772182152606546878814697265625, 402.875, 414.47800000000000864019966684281826019287109375, 419.96300000000002228262019343674182891845703125, 350.124000000000023646862246096134185791015625, 363.12200000000001409716787748038768768310546875, 355.58400000000000318323145620524883270263671875 ], "test_run_times": [ 82.909999999999996589394868351519107818603515625, 85.3799999999999954525264911353588104248046875, 83.7999999999999971578290569595992565155029296875, 83.030000000000001136868377216160297393798828125, 85.4800000000000039790393202565610408782958984375, 83.4800000000000039790393202565610408782958984375, 85.5100000000000051159076974727213382720947265625, 84.8900000000000005684341886080801486968994140625, 84.8799999999999954525264911353588104248046875, 82.2300000000000039790393202565610408782958984375, 79.31000000000000227373675443232059478759765625, 88.099999999999994315658113919198513031005859375 ] }, "Jetson TX2": { "value": 20.5, "raw_values": [ 20.467500000000001136868377216160297393798828125, 20.553599999999999425881469505839049816131591796875, 20.476099999999998857447280897758901119232177734375 ], "test_run_times": [ 190.8799999999999954525264911353588104248046875, 191.44999999999998863131622783839702606201171875, 185.1399999999999863575794734060764312744140625 ] } } }, "7a2d3a2566cdc4cc89b25d601af13ce7657ea21a": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg16_N2.prototxt --int8 --batch=32", "description": "Neural Network: VGG16 - Precision: INT8 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 449.95999999999997953636921010911464691162109375, "raw_values": [ 434.03199999999998226485331542789936065673828125, 475.0040000000000190993887372314929962158203125, 467.45999999999997953636921010911464691162109375, 438.75299999999998590283212251961231231689453125, 440.9769999999999754436430521309375762939453125, 437.5149999999999863575794734060764312744140625, 458.15199999999998681232682429254055023193359375, 469.27600000000001045918907038867473602294921875, 437.3129999999999881765688769519329071044921875, 441.10399999999998499333742074668407440185546875 ], "test_run_times": [ 110.3700000000000045474735088646411895751953125, 107.6400000000000005684341886080801486968994140625, 110.5, 109.9500000000000028421709430404007434844970703125, 139.599999999999994315658113919198513031005859375, 106.840000000000003410605131648480892181396484375, 111.1700000000000017053025658242404460906982421875, 107.650000000000005684341886080801486968994140625, 108.9800000000000039790393202565610408782958984375, 107.659999999999996589394868351519107818603515625 ] }, "Jetson TX2": { "value": 19.870000000000000994759830064140260219573974609375, "raw_values": [ 19.895900000000001028865881380625069141387939453125, 19.903600000000000846966941026039421558380126953125, 19.809200000000000585487214266322553157806396484375 ], "test_run_times": [ 317.83999999999997498889570124447345733642578125, 315.1200000000000045474735088646411895751953125, 315.91000000000002501110429875552654266357421875 ] } } }, "11633d1089c607a8b22e6453becce4f92eb02118": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg19_N2.prototxt --fp16 --batch=16", "description": "Neural Network: VGG19 - Precision: FP16 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 180.030000000000001136868377216160297393798828125, "raw_values": [ 182.2740000000000009094947017729282379150390625, 75.4805999999999954752638586796820163726806640625, 192.080000000000012505552149377763271331787109375, 192.701999999999998181010596454143524169921875, 193.32900000000000773070496506989002227783203125, 192.633000000000009777068044058978557586669921875, 193.77699999999998681232682429254055023193359375, 194.769000000000005456968210637569427490234375, 190.895000000000010231815394945442676544189453125, 192.395999999999986584953148849308490753173828125 ], "test_run_times": [ 63.840000000000003410605131648480892181396484375, 74.1299999999999954525264911353588104248046875, 65.7699999999999960209606797434389591217041015625, 67.1400000000000005684341886080801486968994140625, 65.349999999999994315658113919198513031005859375, 63.89999999999999857891452847979962825775146484375, 62.25, 77.7099999999999937472239253111183643341064453125, 62.18999999999999772626324556767940521240234375, 66.5100000000000051159076974727213382720947265625 ] }, "Jetson TX2": { "value": 28.969999999999998863131622783839702606201171875, "raw_values": [ 29.152100000000000790123522165231406688690185546875, 28.979299999999998505018083960749208927154541015625, 28.77459999999999951114659779705107212066650390625 ], "test_run_times": [ 207.530000000000001136868377216160297393798828125, 207.229999999999989768184605054557323455810546875, 213.1299999999999954525264911353588104248046875 ] } } }, "0383d35dc9dfd85b2e481a63b2bdae543687c07a": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg19_N2.prototxt --fp16 --batch=32", "description": "Neural Network: VGG19 - Precision: FP16 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 201.530000000000001136868377216160297393798828125, "raw_values": [ 202.270000000000010231815394945442676544189453125, 198.3129999999999881765688769519329071044921875, 203.996000000000009322320693172514438629150390625 ], "test_run_times": [ 93.849999999999994315658113919198513031005859375, 93.7399999999999948840923025272786617279052734375, 97.06000000000000227373675443232059478759765625 ] }, "Jetson TX2": { "value": 29.57000000000000028421709430404007434844970703125, "raw_values": [ 29.572700000000001097077984013594686985015869140625, 29.718199999999999505462255910970270633697509765625, 29.413399999999999323563315556384623050689697265625 ], "test_run_times": [ 333.93999999999999772626324556767940521240234375, 339.6100000000000136424205265939235687255859375, 334.009999999999990905052982270717620849609375 ] } } }, "4630d61279d1df492ec0d36202c3abe9593a59ff": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg19_N2.prototxt --int8 --batch=16", "description": "Neural Network: VGG19 - Precision: INT8 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 362.07999999999998408384271897375583648681640625, "raw_values": [ 361.25299999999998590283212251961231231689453125, 363.3899999999999863575794734060764312744140625, 361.58899999999999863575794734060764312744140625 ], "test_run_times": [ 100.0100000000000051159076974727213382720947265625, 100.3700000000000045474735088646411895751953125, 100.3599999999999994315658113919198513031005859375 ] }, "Jetson TX2": { "value": 16.379999999999999005240169935859739780426025390625, "raw_values": [ 16.381900000000001682565198279917240142822265625, 16.348400000000001597300069988705217838287353515625, 16.411100000000001131184035330079495906829833984375 ], "test_run_times": [ 226.759999999999990905052982270717620849609375, 225.240000000000009094947017729282379150390625, 220.289999999999992041921359486877918243408203125 ] } } }, "27c1289d5b93bdc4671538243bcf7762e1e1d515": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=vgg19_N2.prototxt --int8 --batch=32", "description": "Neural Network: VGG19 - Precision: INT8 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 390.56999999999999317878973670303821563720703125, "raw_values": [ 390.9859999999999899955582804977893829345703125, 387.49299999999999499777914024889469146728515625, 393.23700000000002319211489520967006683349609375 ], "test_run_times": [ 130.289999999999992041921359486877918243408203125, 127.5799999999999982946974341757595539093017578125, 129.56999999999999317878973670303821563720703125 ] }, "Jetson TX2": { "value": 15.9900000000000002131628207280300557613372802734375, "raw_values": [ 16.018699999999999050714905024506151676177978515625, 15.9212000000000006849631972727365791797637939453125, 16.02680000000000148929757415316998958587646484375 ], "test_run_times": [ 377.3700000000000045474735088646411895751953125, 383.06999999999999317878973670303821563720703125, 382.3600000000000136424205265939235687255859375 ] } } }, "19847bfaa43b5d9b9a1fcfaaff1db987738a6dc3": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=AlexNet_N2.prototxt --fp16 --batch=4", "description": "Neural Network: AlexNet - Precision: FP16 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 799, "raw_values": [ 723.384999999999990905052982270717620849609375, 945.1390000000000100044417195022106170654296875, 832.2340000000000372892827726900577545166015625, 1096.9600000000000363797880709171295166015625, 781.0349999999999681676854379475116729736328125, 825.03800000000001091393642127513885498046875, 800.1599999999999681676854379475116729736328125, 1089.220000000000027284841053187847137451171875, 101.6110000000000042064129956997931003570556640625 ], "test_run_times": [ 22.059999999999998721023075631819665431976318359375, 21.530000000000001136868377216160297393798828125, 20.660000000000000142108547152020037174224853515625, 20.769999999999999573674358543939888477325439453125, 22.260000000000001563194018672220408916473388671875, 20.129999999999999005240169935859739780426025390625, 21.300000000000000710542735760100185871124267578125, 21.760000000000001563194018672220408916473388671875, 23.780000000000001136868377216160297393798828125 ] }, "Jetson TX2": { "value": 261, "raw_values": [ 286.53699999999997771737980656325817108154296875, 219.217999999999989313437254168093204498291015625, 279.77699999999998681232682429254055023193359375, 261.56999999999999317878973670303821563720703125, 252.484000000000008867573342286050319671630859375, 271.0489999999999781721271574497222900390625, 290.21499999999997498889570124447345733642578125, 259.9329999999999927240423858165740966796875, 252.461000000000012732925824820995330810546875, 234.313999999999992951416061259806156158447265625, 256.7440000000000281943357549607753753662109375, 262.97800000000000864019966684281826019287109375 ], "test_run_times": [ 36.46000000000000085265128291212022304534912109375, 38.61999999999999744204615126363933086395263671875, 37.719999999999998863131622783839702606201171875, 37.7999999999999971578290569595992565155029296875, 38.13000000000000255795384873636066913604736328125, 38.06000000000000227373675443232059478759765625, 37.68999999999999772626324556767940521240234375, 38.340000000000003410605131648480892181396484375, 39.2000000000000028421709430404007434844970703125, 37.74000000000000198951966012828052043914794921875, 39.25, 37.9500000000000028421709430404007434844970703125 ] } } }, "647eaf9aa7194f0e4f3f660320620c8ec0e26a3b": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=AlexNet_N2.prototxt --fp16 --batch=8", "description": "Neural Network: AlexNet - Precision: FP16 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1247, "raw_values": [ 1029.359999999999899955582804977893829345703125, 1506.01999999999998181010596454143524169921875, 1350.7100000000000363797880709171295166015625, 1221.30999999999994543031789362430572509765625, 1237.09999999999990905052982270717620849609375, 1334.579999999999927240423858165740966796875, 1049.589999999999918145476840436458587646484375, 1458.15000000000009094947017729282379150390625, 1187.430000000000063664629124104976654052734375, 1059.420000000000072759576141834259033203125, 1360.180000000000063664629124104976654052734375, 1166.490000000000009094947017729282379150390625 ], "test_run_times": [ 24.530000000000001136868377216160297393798828125, 23.129999999999999005240169935859739780426025390625, 20.530000000000001136868377216160297393798828125, 21.199999999999999289457264239899814128875732421875, 22.440000000000001278976924368180334568023681640625, 20.85000000000000142108547152020037174224853515625, 21.60000000000000142108547152020037174224853515625, 20.910000000000000142108547152020037174224853515625, 22.440000000000001278976924368180334568023681640625, 23.449999999999999289457264239899814128875732421875, 21.800000000000000710542735760100185871124267578125, 22.5 ] }, "Jetson TX2": { "value": 300, "raw_values": [ 331.84300000000001773514668457210063934326171875, 280.2459999999999809006112627685070037841796875, 339.8509999999999990905052982270717620849609375, 307.7010000000000218278728425502777099609375, 317.25, 309.8229999999999790816218592226505279541015625, 293.490999999999985448084771633148193359375, 292.25700000000000500222085975110530853271484375, 281.4370000000000118234311230480670928955078125, 293.701999999999998181010596454143524169921875, 240.39199999999999590727384202182292938232421875, 311.60300000000000864019966684281826019287109375 ], "test_run_times": [ 38.88000000000000255795384873636066913604736328125, 39.1700000000000017053025658242404460906982421875, 40.11999999999999744204615126363933086395263671875, 39.7999999999999971578290569595992565155029296875, 39.4200000000000017053025658242404460906982421875, 38.97999999999999687361196265555918216705322265625, 38.469999999999998863131622783839702606201171875, 39.36999999999999744204615126363933086395263671875, 38.81000000000000227373675443232059478759765625, 38.82000000000000028421709430404007434844970703125, 41.8299999999999982946974341757595539093017578125, 39.840000000000003410605131648480892181396484375 ] } } }, "8ee0201d35e3166bd92090159d9fe2f66517528b": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=AlexNet_N2.prototxt --int8 --batch=4", "description": "Neural Network: AlexNet - Precision: INT8 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 975, "raw_values": [ 1058.009999999999990905052982270717620849609375, 549.6090000000000372892827726900577545166015625, 730.3719999999999572537490166723728179931640625, 1042.9600000000000363797880709171295166015625, 1088.5, 1096.01999999999998181010596454143524169921875, 1108.829999999999927240423858165740966796875, 953.4869999999999663486960344016551971435546875, 1119.829999999999927240423858165740966796875, 1111.5, 1105.7899999999999636202119290828704833984375, 737.2730000000000245563569478690624237060546875 ], "test_run_times": [ 27.8900000000000005684341886080801486968994140625, 27.57000000000000028421709430404007434844970703125, 28.14999999999999857891452847979962825775146484375, 25.719999999999998863131622783839702606201171875, 27.839999999999999857891452847979962825775146484375, 26.760000000000001563194018672220408916473388671875, 27.1099999999999994315658113919198513031005859375, 25.059999999999998721023075631819665431976318359375, 25.809999999999998721023075631819665431976318359375, 26.230000000000000426325641456060111522674560546875, 26.949999999999999289457264239899814128875732421875, 27.050000000000000710542735760100185871124267578125 ] }, "Jetson TX2": { "value": 179, "raw_values": [ 175.02600000000001045918907038867473602294921875, 187.03600000000000136424205265939235687255859375, 176.534999999999996589394868351519107818603515625, 178.3410000000000081854523159563541412353515625 ], "test_run_times": [ 36.6400000000000005684341886080801486968994140625, 36.56000000000000227373675443232059478759765625, 38.75999999999999801048033987171947956085205078125, 38.3599999999999994315658113919198513031005859375 ] } } }, "68bb807c7448c2df9651685f7e7918c09f338dd9": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=AlexNet_N2.prototxt --int8 --batch=8", "description": "Neural Network: AlexNet - Precision: INT8 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1237, "raw_values": [ 847.316000000000030922819860279560089111328125, 1576.7899999999999636202119290828704833984375, 1183.279999999999972715158946812152862548828125, 1638.76999999999998181010596454143524169921875, 1273.910000000000081854523159563541412353515625, 369.20800000000002683009370230138301849365234375, 1363.34999999999990905052982270717620849609375, 1423.089999999999918145476840436458587646484375, 1275.049999999999954525264911353588104248046875, 1428.5, 1098.819999999999936335370875895023345947265625, 1362.73000000000001818989403545856475830078125 ], "test_run_times": [ 28.39999999999999857891452847979962825775146484375, 29.28999999999999914734871708787977695465087890625, 29.260000000000001563194018672220408916473388671875, 29.769999999999999573674358543939888477325439453125, 28.660000000000000142108547152020037174224853515625, 29.629999999999999005240169935859739780426025390625, 27.559999999999998721023075631819665431976318359375, 28.059999999999998721023075631819665431976318359375, 28.67999999999999971578290569595992565155029296875, 30.469999999999998863131622783839702606201171875, 29.769999999999999573674358543939888477325439453125, 27.019999999999999573674358543939888477325439453125 ] }, "Jetson TX2": { "value": 222, "raw_values": [ 216.230999999999994543031789362430572509765625, 227.34600000000000363797880709171295166015625, 222.993999999999999772626324556767940521240234375 ], "test_run_times": [ 39.18999999999999772626324556767940521240234375, 40, 41.969999999999998863131622783839702606201171875 ] } } }, "3e7a1dcdfdecaf14784963026222cc0f0726672b": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=AlexNet_N2.prototxt --fp16 --batch=16", "description": "Neural Network: AlexNet - Precision: FP16 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1435, "raw_values": [ 1504.589999999999918145476840436458587646484375, 1618.240000000000009094947017729282379150390625, 1376.69000000000005456968210637569427490234375, 1514.089999999999918145476840436458587646484375, 1505.84999999999990905052982270717620849609375, 1611.2100000000000363797880709171295166015625, 756.73000000000001818989403545856475830078125, 1410.079999999999927240423858165740966796875, 1615.8699999999998908606357872486114501953125 ], "test_run_times": [ 25.6400000000000005684341886080801486968994140625, 26.07000000000000028421709430404007434844970703125, 29.050000000000000710542735760100185871124267578125, 22.510000000000001563194018672220408916473388671875, 23.050000000000000710542735760100185871124267578125, 22.10000000000000142108547152020037174224853515625, 28.879999999999999005240169935859739780426025390625, 22.1099999999999994315658113919198513031005859375, 22.629999999999999005240169935859739780426025390625 ] }, "Jetson TX2": { "value": 370, "raw_values": [ 372.567999999999983629095368087291717529296875, 343.41000000000002501110429875552654266357421875, 408.08800000000002228262019343674182891845703125, 353.56000000000000227373675443232059478759765625, 407.0760000000000218278728425502777099609375, 344.28600000000000136424205265939235687255859375, 350.41500000000002046363078989088535308837890625, 359.980999999999994543031789362430572509765625, 365.7169999999999845385900698602199554443359375, 390.78500000000002501110429875552654266357421875, 370.76299999999997680788510479032993316650390625, 368.56099999999997862687450833618640899658203125 ], "test_run_times": [ 43.719999999999998863131622783839702606201171875, 44.64999999999999857891452847979962825775146484375, 41.5799999999999982946974341757595539093017578125, 46.18999999999999772626324556767940521240234375, 43.18999999999999772626324556767940521240234375, 43.5499999999999971578290569595992565155029296875, 42.5799999999999982946974341757595539093017578125, 44.00999999999999801048033987171947956085205078125, 44.13000000000000255795384873636066913604736328125, 43.6400000000000005684341886080801486968994140625, 43.7000000000000028421709430404007434844970703125, 44.00999999999999801048033987171947956085205078125 ] } } }, "1f5f3452ea22376fbab47a04f4c6ba67d05c3f33": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=AlexNet_N2.prototxt --fp16 --batch=32", "description": "Neural Network: AlexNet - Precision: FP16 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1900, "raw_values": [ 1939.779999999999972715158946812152862548828125, 1902.26999999999998181010596454143524169921875, 1859.01999999999998181010596454143524169921875 ], "test_run_times": [ 24.339999999999999857891452847979962825775146484375, 24.17999999999999971578290569595992565155029296875, 25.89999999999999857891452847979962825775146484375 ] }, "Jetson TX2": { "value": 472, "raw_values": [ 475.6000000000000227373675443232059478759765625, 458.81000000000000227373675443232059478759765625, 481.259000000000014551915228366851806640625 ], "test_run_times": [ 47.85000000000000142108547152020037174224853515625, 49.0799999999999982946974341757595539093017578125, 48.0499999999999971578290569595992565155029296875 ] } } }, "fcc39723358e1b7bc83cde9aea8b6dcfbecb83ea": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=AlexNet_N2.prototxt --int8 --batch=16", "description": "Neural Network: AlexNet - Precision: INT8 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1879, "raw_values": [ 2045.09999999999990905052982270717620849609375, 1453, 2041.6300000000001091393642127513885498046875, 1468.3699999999998908606357872486114501953125, 1391.549999999999954525264911353588104248046875, 2231.34000000000014551915228366851806640625, 1886.7899999999999636202119290828704833984375, 2030.8800000000001091393642127513885498046875, 2198.44000000000005456968210637569427490234375, 2256.73000000000001818989403545856475830078125, 1620.910000000000081854523159563541412353515625, 1929.1199999999998908606357872486114501953125 ], "test_run_times": [ 36.31000000000000227373675443232059478759765625, 30.370000000000000994759830064140260219573974609375, 30.059999999999998721023075631819665431976318359375, 29.75, 29.71000000000000085265128291212022304534912109375, 30.739999999999998436805981327779591083526611328125, 29.25, 28.82000000000000028421709430404007434844970703125, 31.910000000000000142108547152020037174224853515625, 31.989999999999998436805981327779591083526611328125, 29.949999999999999289457264239899814128875732421875, 29.6700000000000017053025658242404460906982421875 ] }, "Jetson TX2": { "value": 258, "raw_values": [ 265.1770000000000209183781407773494720458984375, 255.75700000000000500222085975110530853271484375, 254.116999999999990222931955941021442413330078125 ], "test_run_times": [ 44.5799999999999982946974341757595539093017578125, 44.36999999999999744204615126363933086395263671875, 45.07000000000000028421709430404007434844970703125 ] } } }, "0268189477e64eb84281a521ad1b7f52c21391b6": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=AlexNet_N2.prototxt --int8 --batch=32", "description": "Neural Network: AlexNet - Precision: INT8 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 2666, "raw_values": [ 734.1029999999999517967808060348033905029296875, 2990.17999999999983629095368087291717529296875, 2864.25, 3136.329999999999927240423858165740966796875, 2590.510000000000218278728425502777099609375, 2974.05999999999994543031789362430572509765625, 2659.489999999999781721271574497222900390625, 3086.03000000000020008883439004421234130859375, 2955.65999999999985448084771633148193359375 ], "test_run_times": [ 33.22999999999999687361196265555918216705322265625, 29.839999999999999857891452847979962825775146484375, 32.2000000000000028421709430404007434844970703125, 40.72999999999999687361196265555918216705322265625, 32.92999999999999971578290569595992565155029296875, 31.10000000000000142108547152020037174224853515625, 29.480000000000000426325641456060111522674560546875, 29.4200000000000017053025658242404460906982421875, 32.27000000000000312638803734444081783294677734375 ] }, "Jetson TX2": { "value": 307, "raw_values": [ 306.43999999999999772626324556767940521240234375, 305.05500000000000682121026329696178436279296875, 308.11299999999999954525264911353588104248046875 ], "test_run_times": [ 47.969999999999998863131622783839702606201171875, 47.74000000000000198951966012828052043914794921875, 49.85000000000000142108547152020037174224853515625 ] } } }, "332cd188ac4f75d0b27a244576579fa60f4ca8a3": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet50_224x224.prototxt --fp16 --batch=4", "description": "Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 542.799999999999954525264911353588104248046875, "raw_values": [ 543.173000000000001818989403545856475830078125, 542.020999999999958163243718445301055908203125, 543.1960000000000263753463514149188995361328125 ], "test_run_times": [ 39.07000000000000028421709430404007434844970703125, 38.6400000000000005684341886080801486968994140625, 38.89999999999999857891452847979962825775146484375 ] }, "Jetson TX2": { "value": 93.6099999999999994315658113919198513031005859375, "raw_values": [ 92.9919000000000011141310096718370914459228515625, 91.4617999999999966576069709844887256622314453125, 96.390399999999999636202119290828704833984375 ], "test_run_times": [ 76.3900000000000005684341886080801486968994140625, 71.469999999999998863131622783839702606201171875, 72.6400000000000005684341886080801486968994140625 ] } } }, "a2e0e5895c89ce79baf0fe376972c18d8e5306eb": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet50_224x224.prototxt --fp16 --batch=8", "description": "Neural Network: ResNet50 - Precision: FP16 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 582.3600000000000136424205265939235687255859375, "raw_values": [ 582.8229999999999790816218592226505279541015625, 582.0430000000000063664629124104976654052734375, 582.2250000000000227373675443232059478759765625 ], "test_run_times": [ 40.4200000000000017053025658242404460906982421875, 39.0799999999999982946974341757595539093017578125, 40.1400000000000005684341886080801486968994140625 ] }, "Jetson TX2": { "value": 99.0499999999999971578290569595992565155029296875, "raw_values": [ 97.7502999999999957481122692115604877471923828125, 101.498999999999995225152815692126750946044921875, 97.8917000000000001591615728102624416351318359375 ], "test_run_times": [ 80.0199999999999960209606797434389591217041015625, 80.4599999999999937472239253111183643341064453125, 80.2300000000000039790393202565610408782958984375 ] } } }, "1fd530170fb7080782e9670af4e987457d427ad7": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet50_224x224.prototxt --int8 --batch=4", "description": "Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 865.4600000000000363797880709171295166015625, "raw_values": [ 837.095000000000027284841053187847137451171875, 878.240999999999985448084771633148193359375, 881.0399999999999636202119290828704833984375 ], "test_run_times": [ 109.81999999999999317878973670303821563720703125, 106.7399999999999948840923025272786617279052734375, 108.4200000000000017053025658242404460906982421875 ] }, "Jetson TX2": { "value": 50.3900000000000005684341886080801486968994140625, "raw_values": [ 49.12660000000000337649908033199608325958251953125, 51.20720000000000027284841053187847137451171875, 50.82939999999999969304553815163671970367431640625 ], "test_run_times": [ 73.68000000000000682121026329696178436279296875, 72.469999999999998863131622783839702606201171875, 72.9200000000000017053025658242404460906982421875 ] } } }, "ca56ab7507c1a33d01ad345cfc4103be6903d0ff": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet50_224x224.prototxt --int8 --batch=8", "description": "Neural Network: ResNet50 - Precision: INT8 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 944.4600000000000363797880709171295166015625, "raw_values": [ 926.953999999999950887286104261875152587890625, 529.4260000000000445652403868734836578369140625, 924.711000000000012732925824820995330810546875, 938.152000000000043655745685100555419921875, 1027.200000000000045474735088646411895751953125, 937.0729999999999790816218592226505279541015625, 1003.6799999999999499777914024889469146728515625, 1044.819999999999936335370875895023345947265625, 1040.98000000000001818989403545856475830078125, 940.7920000000000300133251585066318511962890625, 1047.410000000000081854523159563541412353515625, 972.2720000000000482032191939651966094970703125 ], "test_run_times": [ 114.5499999999999971578290569595992565155029296875, 110.93000000000000682121026329696178436279296875, 111.599999999999994315658113919198513031005859375, 108.4500000000000028421709430404007434844970703125, 107.8299999999999982946974341757595539093017578125, 115.2000000000000028421709430404007434844970703125, 112.099999999999994315658113919198513031005859375, 107.31000000000000227373675443232059478759765625, 113.4599999999999937472239253111183643341064453125, 117.43000000000000682121026329696178436279296875, 107.43999999999999772626324556767940521240234375, 114.31999999999999317878973670303821563720703125 ] }, "Jetson TX2": { "value": 51.07000000000000028421709430404007434844970703125, "raw_values": [ 50.2667000000000001591615728102624416351318359375, 50.85470000000000112549969344399869441986083984375, 52.0955000000000012505552149377763271331787109375 ], "test_run_times": [ 81.849999999999994315658113919198513031005859375, 82.6200000000000045474735088646411895751953125, 81.7900000000000062527760746888816356658935546875 ] } } }, "994330cb1cb41b9bdda41ab8160d77d72016050e": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=googlenet.prototxt --fp16 --batch=4", "description": "Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 546, "raw_values": [ 714.2350000000000136424205265939235687255859375, 702.12300000000004729372449219226837158203125, 433.93400000000002592059900052845478057861328125, 66.7753000000000014324541552923619747161865234375, 709.576999999999998181010596454143524169921875, 72.5875999999999947931428323499858379364013671875, 785.5720000000000027284841053187847137451171875, 789.1960000000000263753463514149188995361328125, 640.884000000000014551915228366851806640625 ], "test_run_times": [ 30.370000000000000994759830064140260219573974609375, 30.280000000000001136868377216160297393798828125, 35.52000000000000312638803734444081783294677734375, 36.60000000000000142108547152020037174224853515625, 31.879999999999999005240169935859739780426025390625, 36.090000000000003410605131648480892181396484375, 34.46000000000000085265128291212022304534912109375, 33.1700000000000017053025658242404460906982421875, 32.82000000000000028421709430404007434844970703125 ] }, "Jetson TX2": { "value": 202, "raw_values": [ 200.640999999999991132426657713949680328369140625, 203.40600000000000591171556152403354644775390625, 200.90100000000001045918907038867473602294921875 ], "test_run_times": [ 55.53999999999999914734871708787977695465087890625, 53.2999999999999971578290569595992565155029296875, 53.82000000000000028421709430404007434844970703125 ] } } }, "d339f58cfee971b141f8422456a3516d896bfcf9": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=googlenet.prototxt --fp16 --batch=8", "description": "Neural Network: GoogleNet - Precision: FP16 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 863, "raw_values": [ 900.865000000000009094947017729282379150390625, 896.413999999999987267074175179004669189453125, 808.19000000000005456968210637569427490234375, 828.4759999999999990905052982270717620849609375, 908.1490000000000009094947017729282379150390625, 903.8790000000000190993887372314929962158203125, 894.2459999999999809006112627685070037841796875, 900.45299999999997453414835035800933837890625, 909.7740000000000009094947017729282379150390625, 809.1000000000000227373675443232059478759765625, 819.9950000000000045474735088646411895751953125, 779.1799999999999499777914024889469146728515625 ], "test_run_times": [ 33.3599999999999994315658113919198513031005859375, 34.64999999999999857891452847979962825775146484375, 33.469999999999998863131622783839702606201171875, 35.60000000000000142108547152020037174224853515625, 35.22999999999999687361196265555918216705322265625, 35.75999999999999801048033987171947956085205078125, 33.22999999999999687361196265555918216705322265625, 33.53999999999999914734871708787977695465087890625, 31.269999999999999573674358543939888477325439453125, 38.02000000000000312638803734444081783294677734375, 33.1400000000000005684341886080801486968994140625, 34.92999999999999971578290569595992565155029296875 ] }, "Jetson TX2": { "value": 198, "raw_values": [ 197.855999999999994543031789362430572509765625, 191.304000000000002046363078989088535308837890625, 204.104000000000013415046851150691509246826171875 ], "test_run_times": [ 60.4200000000000017053025658242404460906982421875, 59.68999999999999772626324556767940521240234375, 59.6099999999999994315658113919198513031005859375 ] } } }, "87c0b06e532ec4ce68d48e5a04c0359e16322339": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=googlenet.prototxt --int8 --batch=4", "description": "Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 652, "raw_values": [ 973.2930000000000063664629124104976654052734375, 104.5450000000000017053025658242404460906982421875, 103.953000000000002955857780762016773223876953125, 103.8840000000000003410605131648480892181396484375, 1112.759999999999990905052982270717620849609375, 1110.670000000000072759576141834259033203125, 1025.80999999999994543031789362430572509765625, 935.8260000000000218278728425502777099609375, 1013.44000000000005456968210637569427490234375, 103.3589999999999946567186270840466022491455078125, 103.125, 1131.48000000000001818989403545856475830078125 ], "test_run_times": [ 93.06999999999999317878973670303821563720703125, 96.9899999999999948840923025272786617279052734375, 96.1700000000000017053025658242404460906982421875, 98.7900000000000062527760746888816356658935546875, 97.090000000000003410605131648480892181396484375, 94.7600000000000051159076974727213382720947265625, 96.25, 96.2399999999999948840923025272786617279052734375, 96.6099999999999994315658113919198513031005859375, 96.1200000000000045474735088646411895751953125, 97.7000000000000028421709430404007434844970703125, 94.3299999999999982946974341757595539093017578125 ] }, "Jetson TX2": { "value": 114, "raw_values": [ 116.356999999999999317878973670303821563720703125, 115.4789999999999992041921359486877918243408203125, 109.9569999999999936335370875895023345947265625 ], "test_run_times": [ 73.5799999999999982946974341757595539093017578125, 73.18999999999999772626324556767940521240234375, 73.68999999999999772626324556767940521240234375 ] } } }, "74728ed36b9a7bf1e5e749ff995accd6a4919b9b": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=googlenet.prototxt --int8 --batch=8", "description": "Neural Network: GoogleNet - Precision: INT8 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1049, "raw_values": [ 1173.049999999999954525264911353588104248046875, 126.9030000000000057980287238024175167083740234375, 1368.299999999999954525264911353588104248046875, 1082.890000000000100044417195022106170654296875, 1147.90000000000009094947017729282379150390625, 1210.3800000000001091393642127513885498046875, 1344.25, 1042.970000000000027284841053187847137451171875, 656.5610000000000354702933691442012786865234375, 1339.1199999999998908606357872486114501953125 ], "test_run_times": [ 97.0199999999999960209606797434389591217041015625, 102.469999999999998863131622783839702606201171875, 98.1700000000000017053025658242404460906982421875, 101.7300000000000039790393202565610408782958984375, 96.1400000000000005684341886080801486968994140625, 98.93999999999999772626324556767940521240234375, 100.2999999999999971578290569595992565155029296875, 101.2900000000000062527760746888816356658935546875, 104.340000000000003410605131648480892181396484375, 99.090000000000003410605131648480892181396484375 ] }, "Jetson TX2": { "value": 117, "raw_values": [ 114.11299999999999954525264911353588104248046875, 115.8970000000000055706550483591854572296142578125, 121.1680000000000063664629124104976654052734375 ], "test_run_times": [ 79.0799999999999982946974341757595539093017578125, 77.1299999999999954525264911353588104248046875, 77.3700000000000045474735088646411895751953125 ] } } }, "84330c36321f90a87c5a1da85d68890a7d978998": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet152_N2.prototxt --fp16 --batch=4", "description": "Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 219.080000000000012505552149377763271331787109375, "raw_values": [ 224.087999999999993860910763032734394073486328125, 219.9660000000000081854523159563541412353515625, 213.1879999999999881765688769519329071044921875 ], "test_run_times": [ 99.099999999999994315658113919198513031005859375, 96.099999999999994315658113919198513031005859375, 93.2600000000000051159076974727213382720947265625 ] }, "Jetson TX2": { "value": 35.60000000000000142108547152020037174224853515625, "raw_values": [ 35.91409999999999769215719425119459629058837890625, 34.730400000000003046807250939309597015380859375, 36.14869999999999805595507496036589145660400390625 ], "test_run_times": [ 215.759999999999990905052982270717620849609375, 218.210000000000007958078640513122081756591796875, 218.43000000000000682121026329696178436279296875 ] } } }, "0fb8ae12f1bd76c56f72fbf140aef3b3cc28a309": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet152_N2.prototxt --fp16 --batch=8", "description": "Neural Network: ResNet152 - Precision: FP16 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 234.840000000000003410605131648480892181396484375, "raw_values": [ 235.3890000000000100044417195022106170654296875, 234.16100000000000136424205265939235687255859375, 234.972000000000008412825991399586200714111328125 ], "test_run_times": [ 97.8700000000000045474735088646411895751953125, 98.9500000000000028421709430404007434844970703125, 99.090000000000003410605131648480892181396484375 ] }, "Jetson TX2": { "value": 36.71000000000000085265128291212022304534912109375, "raw_values": [ 38.21419999999999816964191268198192119598388671875, 36.31710000000000349018591805361211299896240234375, 33.0003999999999990677679306827485561370849609375, 38.0636999999999972033037920482456684112548828125, 34.222700000000003228706191293895244598388671875, 38.04469999999999885176293901167809963226318359375, 36.22059999999999746478351880796253681182861328125, 37.17179999999999751025825389660894870758056640625, 39.12360000000000326281224261038005352020263671875 ], "test_run_times": [ 226.490000000000009094947017729282379150390625, 228.719999999999998863131622783839702606201171875, 229.909999999999996589394868351519107818603515625, 227.909999999999996589394868351519107818603515625, 231.030000000000001136868377216160297393798828125, 227.56999999999999317878973670303821563720703125, 226.75, 225.8799999999999954525264911353588104248046875, 228.919999999999987494447850622236728668212890625 ] } } }, "66d5d85c88911893bb5fe5e79a19195efe427838": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet152_N2.prototxt --int8 --batch=4", "description": "Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 350.279999999999972715158946812152862548828125, "raw_values": [ 340.7939999999999827196006663143634796142578125, 350.2440000000000281943357549607753753662109375, 359.79000000000002046363078989088535308837890625 ], "test_run_times": [ 299.490000000000009094947017729282379150390625, 304.01999999999998181010596454143524169921875, 311.1200000000000045474735088646411895751953125 ] }, "Jetson TX2": { "value": 17.969999999999998863131622783839702606201171875, "raw_values": [ 18.016200000000001324451659456826746463775634765625, 17.617200000000000414956957683898508548736572265625, 18.269400000000000972022462519817054271697998046875 ], "test_run_times": [ 202.8700000000000045474735088646411895751953125, 202.909999999999996589394868351519107818603515625, 201.43999999999999772626324556767940521240234375 ] } } }, "841d8b7d1dc8abd39e8eccc49e10f7b8fedaa3da": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet152_N2.prototxt --int8 --batch=8", "description": "Neural Network: ResNet152 - Precision: INT8 - Batch Size: 8", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 407.009999999999990905052982270717620849609375, "raw_values": [ 393.461000000000012732925824820995330810546875, 410.8799999999999954525264911353588104248046875, 416.69900000000001227817847393453121185302734375 ], "test_run_times": [ 308.23000000000001818989403545856475830078125, 309.92000000000001591615728102624416351318359375, 307.1299999999999954525264911353588104248046875 ] }, "Jetson TX2": { "value": 19.480000000000000426325641456060111522674560546875, "raw_values": [ 19.319500000000001449507180950604379177093505859375, 20.012699999999998823341229581274092197418212890625, 19.101099999999998857447280897758901119232177734375 ], "test_run_times": [ 224.69999999999998863131622783839702606201171875, 222.8899999999999863575794734060764312744140625, 226.030000000000001136868377216160297393798828125 ] } } }, "bac77023dbbbaf1999ab52c6708085338a12ca52": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet50_224x224.prototxt --fp16 --batch=16", "description": "Neural Network: ResNet50 - Precision: FP16 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 593, "raw_values": [ 579.402000000000043655745685100555419921875, 601.9679999999999608917278237640857696533203125, 598.6280000000000427462509833276271820068359375 ], "test_run_times": [ 47.46000000000000085265128291212022304534912109375, 41.469999999999998863131622783839702606201171875, 44.85000000000000142108547152020037174224853515625 ] }, "Jetson TX2": { "value": 106, "raw_values": [ 106.7530000000000001136868377216160297393798828125, 105.0930000000000035242919693700969219207763671875, 106.9680000000000035242919693700969219207763671875 ], "test_run_times": [ 91.6099999999999994315658113919198513031005859375, 91.409999999999996589394868351519107818603515625, 91.9500000000000028421709430404007434844970703125 ] } } }, "00eb7a6ef299bfbec9c06230933b160374277fe8": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet50_224x224.prototxt --fp16 --batch=32", "description": "Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 613, "raw_values": [ 604.29700000000002546585164964199066162109375, 631.2859999999999445208231918513774871826171875, 603.5710000000000263753463514149188995361328125 ], "test_run_times": [ 51.89999999999999857891452847979962825775146484375, 52.25999999999999801048033987171947956085205078125, 52.35000000000000142108547152020037174224853515625 ] }, "Jetson TX2": { "value": 110, "raw_values": [ 111.4909999999999996589394868351519107818603515625, 107.912000000000006139089236967265605926513671875, 112.022999999999996134647517465054988861083984375 ], "test_run_times": [ 118.2699999999999960209606797434389591217041015625, 118.68000000000000682121026329696178436279296875, 117.469999999999998863131622783839702606201171875 ] } } }, "814ca2ad29f2a686beb5f3c053099266df720d5d": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet50_224x224.prototxt --int8 --batch=16", "description": "Neural Network: ResNet50 - Precision: INT8 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1106.1300000000001091393642127513885498046875, "raw_values": [ 1128.640000000000100044417195022106170654296875, 1134.569999999999936335370875895023345947265625, 998.5579999999999927240423858165740966796875, 1117.700000000000045474735088646411895751953125, 1100.5, 1121.84999999999990905052982270717620849609375, 1131.890000000000100044417195022106170654296875, 1060.920000000000072759576141834259033203125, 1122.84999999999990905052982270717620849609375, 1127.029999999999972715158946812152862548828125, 1132.9600000000000363797880709171295166015625, 1096.089999999999918145476840436458587646484375 ], "test_run_times": [ 120.650000000000005684341886080801486968994140625, 116.3700000000000045474735088646411895751953125, 127.590000000000003410605131648480892181396484375, 115.18999999999999772626324556767940521240234375, 116.7600000000000051159076974727213382720947265625, 112.6299999999999954525264911353588104248046875, 116.659999999999996589394868351519107818603515625, 116.0400000000000062527760746888816356658935546875, 121.75, 114.0499999999999971578290569595992565155029296875, 121.18999999999999772626324556767940521240234375, 123.659999999999996589394868351519107818603515625 ] }, "Jetson TX2": { "value": 57.17999999999999971578290569595992565155029296875, "raw_values": [ 57.3849000000000017962520360015332698822021484375, 57.0870000000000032969182939268648624420166015625, 57.05969999999999942019712761975824832916259765625 ], "test_run_times": [ 95.93999999999999772626324556767940521240234375, 96.3799999999999954525264911353588104248046875, 96.590000000000003410605131648480892181396484375 ] } } }, "98e9cd4a6b48561b4ad5672ee461dd72339ecc4d": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet50_224x224.prototxt --int8 --batch=32", "description": "Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1184.5, "raw_values": [ 1196.90000000000009094947017729282379150390625, 1174.680000000000063664629124104976654052734375, 1181.910000000000081854523159563541412353515625 ], "test_run_times": [ 123.2399999999999948840923025272786617279052734375, 122.2900000000000062527760746888816356658935546875, 120.06000000000000227373675443232059478759765625 ] }, "Jetson TX2": { "value": 59.4500000000000028421709430404007434844970703125, "raw_values": [ 59.099299999999999499777914024889469146728515625, 59.72630000000000194404492503963410854339599609375, 59.53179999999999694182406528852880001068115234375 ], "test_run_times": [ 131.650000000000005684341886080801486968994140625, 131.06999999999999317878973670303821563720703125, 131.289999999999992041921359486877918243408203125 ] } } }, "b8d9d30b22c54cd2cf0a6adf981a5786fc54343a": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=googlenet.prototxt --fp16 --batch=16", "description": "Neural Network: GoogleNet - Precision: FP16 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 858, "raw_values": [ 875.9969999999999572537490166723728179931640625, 881.999000000000023646862246096134185791015625, 940.961000000000012732925824820995330810546875, 864.711000000000012732925824820995330810546875, 960.142000000000052750692702829837799072265625, 433.1309999999999718056642450392246246337890625, 857.4669999999999845385900698602199554443359375, 974.3799999999999954525264911353588104248046875, 932.2160000000000081854523159563541412353515625 ], "test_run_times": [ 36.4500000000000028421709430404007434844970703125, 34.909999999999996589394868351519107818603515625, 36, 39.71000000000000085265128291212022304534912109375, 39.340000000000003410605131648480892181396484375, 38.86999999999999744204615126363933086395263671875, 40.63000000000000255795384873636066913604736328125, 41.3299999999999982946974341757595539093017578125, 35.07000000000000028421709430404007434844970703125 ] }, "Jetson TX2": { "value": 218, "raw_values": [ 215.979999999999989768184605054557323455810546875, 212.493999999999999772626324556767940521240234375, 224.6100000000000136424205265939235687255859375 ], "test_run_times": [ 68.5499999999999971578290569595992565155029296875, 67.400000000000005684341886080801486968994140625, 68.2099999999999937472239253111183643341064453125 ] } } }, "c85795c1bfbe313982a4221fac2e70b22a5a82ec": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=googlenet.prototxt --fp16 --batch=32", "description": "Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 956, "raw_values": [ 1006.48000000000001818989403545856475830078125, 894.5040000000000190993887372314929962158203125, 887.8799999999999954525264911353588104248046875, 918.0130000000000336513039655983448028564453125, 1004.8600000000000136424205265939235687255859375, 916.9260000000000445652403868734836578369140625, 1004.8999999999999772626324556767940521240234375, 1000.5700000000000500222085975110530853271484375, 997.1180000000000518411980010569095611572265625, 916.9080000000000154614099301397800445556640625, 917.183999999999969077180139720439910888671875, 1002.51999999999998181010596454143524169921875 ], "test_run_times": [ 44.14999999999999857891452847979962825775146484375, 49.8599999999999994315658113919198513031005859375, 50.56000000000000227373675443232059478759765625, 46.5799999999999982946974341757595539093017578125, 48.3299999999999982946974341757595539093017578125, 46.86999999999999744204615126363933086395263671875, 40.99000000000000198951966012828052043914794921875, 46.9500000000000028421709430404007434844970703125, 50.3900000000000005684341886080801486968994140625, 43.6099999999999994315658113919198513031005859375, 42.74000000000000198951966012828052043914794921875, 45.469999999999998863131622783839702606201171875 ] }, "Jetson TX2": { "value": 230, "raw_values": [ 223.991000000000013869794202037155628204345703125, 230.116000000000013869794202037155628204345703125, 236.412000000000006139089236967265605926513671875 ], "test_run_times": [ 81.2600000000000051159076974727213382720947265625, 82.090000000000003410605131648480892181396484375, 82.099999999999994315658113919198513031005859375 ] } } }, "0d859d28c513244e23439b7b6782dcca98705399": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=googlenet.prototxt --int8 --batch=16", "description": "Neural Network: GoogleNet - Precision: INT8 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1340, "raw_values": [ 1481.180000000000063664629124104976654052734375, 131.592999999999989313437254168093204498291015625, 1468.079999999999927240423858165740966796875, 1485.279999999999972715158946812152862548828125, 1374.180000000000063664629124104976654052734375, 1560.029999999999972715158946812152862548828125, 1523.930000000000063664629124104976654052734375, 1462.299999999999954525264911353588104248046875, 1571.8800000000001091393642127513885498046875 ], "test_run_times": [ 104.719999999999998863131622783839702606201171875, 109.18999999999999772626324556767940521240234375, 104.6299999999999954525264911353588104248046875, 103.6400000000000005684341886080801486968994140625, 114.56000000000000227373675443232059478759765625, 105.719999999999998863131622783839702606201171875, 101.469999999999998863131622783839702606201171875, 101.6299999999999954525264911353588104248046875, 100.659999999999996589394868351519107818603515625 ] }, "Jetson TX2": { "value": 125, "raw_values": [ 125.602000000000003865352482534945011138916015625, 127.0100000000000051159076974727213382720947265625, 123.03100000000000591171556152403354644775390625 ], "test_run_times": [ 89.1200000000000045474735088646411895751953125, 86.93000000000000682121026329696178436279296875, 87.2300000000000039790393202565610408782958984375 ] } } }, "fb9564dce901a083019969f19d40d23f740e9758": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=googlenet.prototxt --int8 --batch=32", "description": "Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 1622, "raw_values": [ 1631.75, 1621.220000000000027284841053187847137451171875, 1614.410000000000081854523159563541412353515625 ], "test_run_times": [ 103.81000000000000227373675443232059478759765625, 107.219999999999998863131622783839702606201171875, 108.2900000000000062527760746888816356658935546875 ] }, "Jetson TX2": { "value": 130, "raw_values": [ 131.090000000000003410605131648480892181396484375, 128.455000000000012505552149377763271331787109375, 131.251000000000004774847184307873249053955078125 ], "test_run_times": [ 104.4200000000000017053025658242404460906982421875, 105.3900000000000005684341886080801486968994140625, 103.969999999999998863131622783839702606201171875 ] } } }, "1ab7813cc313f6095c6da06f505a0d1a6eb4d2ae": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet152_N2.prototxt --fp16 --batch=16", "description": "Neural Network: ResNet152 - Precision: FP16 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 224.599999999999994315658113919198513031005859375, "raw_values": [ 100.719999999999998863131622783839702606201171875, 240.8079999999999927240423858165740966796875, 237.77899999999999636202119290828704833984375, 241.9279999999999972715158946812152862548828125, 240.8170000000000072759576141834259033203125, 241.604000000000013415046851150691509246826171875, 240.344999999999998863131622783839702606201171875, 235.3609999999999899955582804977893829345703125, 242.032999999999987039700499735772609710693359375 ], "test_run_times": [ 116.9599999999999937472239253111183643341064453125, 112.4500000000000028421709430404007434844970703125, 114.849999999999994315658113919198513031005859375, 107.0400000000000062527760746888816356658935546875, 113.31000000000000227373675443232059478759765625, 110.7900000000000062527760746888816356658935546875, 106.150000000000005684341886080801486968994140625, 105.56999999999999317878973670303821563720703125, 113.9500000000000028421709430404007434844970703125 ] }, "Jetson TX2": { "value": 40.18999999999999772626324556767940521240234375, "raw_values": [ 40.030900000000002592059900052845478057861328125, 40.0167000000000001591615728102624416351318359375, 40.526600000000001955413608811795711517333984375 ], "test_run_times": [ 253.520000000000010231815394945442676544189453125, 253.3899999999999863575794734060764312744140625, 253.6200000000000045474735088646411895751953125 ] } } }, "0c27c5f43a5c13d3993d9a6da5c284067474d6f7": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet152_N2.prototxt --fp16 --batch=32", "description": "Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 253.340000000000003410605131648480892181396484375, "raw_values": [ 252.71899999999999408828443847596645355224609375, 258.53199999999998226485331542789936065673828125, 248.759999999999990905052982270717620849609375 ], "test_run_times": [ 124.780000000000001136868377216160297393798828125, 125.4500000000000028421709430404007434844970703125, 129.44999999999998863131622783839702606201171875 ] }, "Jetson TX2": { "value": 41.86999999999999744204615126363933086395263671875, "raw_values": [ 41.89439999999999741930878371931612491607666015625, 41.6107999999999975671016727574169635772705078125, 42.0955000000000012505552149377763271331787109375 ], "test_run_times": [ 319, 317.6499999999999772626324556767940521240234375, 316.98000000000001818989403545856475830078125 ] } } }, "9ae856a15994edb34bddbc3b5fc349b9be37bd5d": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet152_N2.prototxt --int8 --batch=16", "description": "Neural Network: ResNet152 - Precision: INT8 - Batch Size: 16", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 445.220000000000027284841053187847137451171875, "raw_values": [ 449.461000000000012732925824820995330810546875, 449.06900000000001682565198279917240142822265625, 437.134999999999990905052982270717620849609375 ], "test_run_times": [ 317.029999999999972715158946812152862548828125, 319.029999999999972715158946812152862548828125, 327.43999999999999772626324556767940521240234375 ] }, "Jetson TX2": { "value": 20.769999999999999573674358543939888477325439453125, "raw_values": [ 20.927800000000001290345608140341937541961669921875, 20.61840000000000117097442853264510631561279296875, 20.77029999999999887450030655600130558013916015625 ], "test_run_times": [ 267.80000000000001136868377216160297393798828125, 268.45999999999997953636921010911464691162109375, 269.029999999999972715158946812152862548828125 ] } } }, "55b4a1a70cb6437ab096f16ead07575224405b24": { "identifier": "system\/tensorrt-inference-1.0.0", "title": "NVIDIA TensorRT Inference", "arguments": "--deploy=ResNet152_N2.prototxt --int8 --batch=32", "description": "Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32", "scale": "Images Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "Jetson AGX Xavier": { "value": 485.220000000000027284841053187847137451171875, "raw_values": [ 484.000999999999976353137753903865814208984375, 483.49799999999999045030563138425350189208984375, 488.14600000000001500666257925331592559814453125 ], "test_run_times": [ 337.44999999999998863131622783839702606201171875, 334.8500000000000227373675443232059478759765625, 335.8999999999999772626324556767940521240234375 ] }, "Jetson TX2": { "value": 22.050000000000000710542735760100185871124267578125, "raw_values": [ 22.11789999999999878355083637870848178863525390625, 22.01950000000000073896444519050419330596923828125, 22.024300000000000210320649784989655017852783203125 ], "test_run_times": [ 352.17000000000001591615728102624416351318359375, 353.48000000000001818989403545856475830078125, 353.759999999999990905052982270717620849609375 ] } } } } }