IlyasMoutawwakil HF staff commited on
Commit
2a6bf89
·
verified ·
1 Parent(s): 2504be8

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 977.256448,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
@@ -10,96 +10,95 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 65,
14
- "total": 1.0044332170486452,
15
- "mean": 0.015452818723825307,
16
- "stdev": 0.0007642533752018016,
17
- "p50": 0.015349760055541992,
18
- "p90": 0.016288562774658205,
19
- "p95": 0.01763369026184082,
20
- "p99": 0.017970863952636716,
21
  "values": [
22
- 0.01781046485900879,
23
- 0.018110496520996094,
24
- 0.01770086479187012,
25
- 0.017364992141723632,
26
- 0.016763904571533202,
27
- 0.016719871520996094,
28
- 0.01789232063293457,
29
- 0.015351807594299317,
30
- 0.015024095535278321,
31
- 0.015004672050476075,
32
- 0.01511526393890381,
33
- 0.015474687576293946,
34
- 0.01537331199645996,
35
- 0.015544320106506348,
36
- 0.015452159881591796,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
37
  0.015465472221374512,
38
- 0.015250432014465331,
39
- 0.01540403175354004,
40
- 0.015377375602722168,
41
- 0.015441920280456543,
42
- 0.01530777645111084,
43
- 0.015435775756835938,
44
- 0.015333312034606934,
45
- 0.015204352378845215,
46
- 0.014945280075073243,
47
- 0.01515724754333496,
48
- 0.015400959968566894,
49
- 0.015436800003051757,
50
- 0.015401984214782715,
51
- 0.015382528305053711,
52
- 0.014900223731994629,
53
- 0.015164416313171386,
54
- 0.015436800003051757,
55
- 0.015388671875,
56
- 0.01528217601776123,
57
- 0.015460351943969726,
58
- 0.015594495773315429,
59
- 0.015616959571838378,
60
- 0.015641599655151366,
61
- 0.015457280158996582,
62
- 0.015399935722351075,
63
- 0.015349760055541992,
64
- 0.015331328392028809,
65
- 0.014877696037292481,
66
- 0.014851072311401366,
67
- 0.014823424339294433,
68
- 0.014947327613830566,
69
- 0.014838784217834473,
70
- 0.014845952033996582,
71
- 0.014880800247192382,
72
- 0.014888959884643555,
73
- 0.014849023818969726,
74
- 0.01482748794555664,
75
- 0.014846976280212403,
76
- 0.015353856086730957,
77
- 0.015330304145812988,
78
- 0.015349760055541992,
79
- 0.015362015724182129,
80
- 0.015359999656677246,
81
- 0.015316991806030274,
82
- 0.014829567909240723,
83
- 0.01488486385345459,
84
- 0.014820351600646972,
85
- 0.014798848152160645,
86
- 0.01487667179107666
87
  ]
88
  },
89
  "throughput": {
90
  "unit": "samples/s",
91
- "value": 64.7131127253949
92
  },
93
  "energy": {
94
  "unit": "kWh",
95
- "cpu": 1.7945690688862144e-07,
96
- "ram": 9.81142168484769e-08,
97
- "gpu": 3.6537908018182103e-07,
98
- "total": 6.429502039189194e-07
99
  },
100
  "efficiency": {
101
  "unit": "samples/kWh",
102
- "value": 1555330.4033575004
103
  }
104
  }
105
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 977.16224,
6
  "max_global_vram": 1434.976256,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 794.820608,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 64,
14
+ "total": 1.0114669494628907,
15
+ "mean": 0.015804171085357664,
16
+ "stdev": 0.0005431322647317702,
17
+ "p50": 0.015561696052551269,
18
+ "p90": 0.016387173843383788,
19
+ "p95": 0.01661337661743164,
20
+ "p99": 0.01780737075805664,
21
  "values": [
22
+ 0.01762816047668457,
23
+ 0.018112512588500978,
24
+ 0.017334272384643554,
25
+ 0.016562175750732423,
26
+ 0.016152576446533205,
27
+ 0.016154624938964843,
28
+ 0.01566412830352783,
29
+ 0.015566847801208495,
30
+ 0.015610848426818848,
31
+ 0.01565286445617676,
32
+ 0.015531007766723632,
33
+ 0.016251903533935547,
34
+ 0.01600614356994629,
35
+ 0.01601535987854004,
36
+ 0.01620070457458496,
37
+ 0.01661337661743164,
38
+ 0.01615667152404785,
39
+ 0.01573574447631836,
40
+ 0.015564800262451172,
41
+ 0.01547059154510498,
42
+ 0.01573375988006592,
43
+ 0.01601126480102539,
44
+ 0.016092159271240233,
45
+ 0.016440319061279296,
46
+ 0.01661337661743164,
47
+ 0.01626316833496094,
48
+ 0.015512639999389649,
49
+ 0.015431679725646973,
50
+ 0.015356863975524902,
51
+ 0.015248384475708008,
52
+ 0.015139840126037597,
53
+ 0.01585756778717041,
54
+ 0.016015296936035157,
55
+ 0.016130048751831053,
56
+ 0.015836159706115724,
57
+ 0.015866880416870118,
58
+ 0.015716352462768556,
59
+ 0.015545344352722168,
60
+ 0.015563712120056153,
61
+ 0.015477760314941406,
62
+ 0.01546444797515869,
63
+ 0.015430656433105469,
64
+ 0.015483903884887695,
65
  0.015465472221374512,
66
+ 0.015559679985046386,
67
+ 0.015440896034240722,
68
+ 0.015501312255859375,
69
+ 0.01547980785369873,
70
+ 0.015491071701049805,
71
+ 0.015558655738830567,
72
+ 0.015483903884887695,
73
+ 0.015485952377319336,
74
+ 0.015463423728942872,
75
+ 0.01548588752746582,
76
+ 0.01546444797515869,
77
+ 0.015520768165588379,
78
+ 0.015499263763427735,
79
+ 0.015438847541809082,
80
+ 0.015427583694458008,
81
+ 0.015471615791320802,
82
+ 0.015450112342834473,
83
+ 0.015481856346130371,
84
+ 0.015563776016235351,
85
+ 0.015515711784362793
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
86
  ]
87
  },
88
  "throughput": {
89
  "unit": "samples/s",
90
+ "value": 63.274435248710105
91
  },
92
  "energy": {
93
  "unit": "kWh",
94
+ "cpu": 1.791636420917353e-07,
95
+ "ram": 9.795198968984678e-08,
96
+ "gpu": 3.6451936292536947e-07,
97
+ "total": 6.416349947069516e-07
98
  },
99
  "efficiency": {
100
  "unit": "samples/kWh",
101
+ "value": 1558518.4851969013
102
  }
103
  }
104
  }