IlyasMoutawwakil HF staff commited on
Commit
a00f2cc
·
verified ·
1 Parent(s): 15ade76

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
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 708.251648,
6
  "max_global_vram": 1403.518976,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 7.2158349609375,
15
- "mean": 7.2158349609375,
16
  "stdev": 0.0,
17
- "p50": 7.2158349609375,
18
- "p90": 7.2158349609375,
19
- "p95": 7.2158349609375,
20
- "p99": 7.2158349609375,
21
  "values": [
22
- 7.2158349609375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.1315961678822836e-06,
29
- "ram": 6.04607491345727e-07,
30
- "gpu": 1.7219458220002481e-06,
31
- "total": 3.4581494812282587e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 990.57664,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -44,103 +44,103 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 73,
47
- "total": 1.0074204807281495,
48
- "mean": 0.013800280557919856,
49
- "stdev": 0.0005866072437501239,
50
- "p50": 0.013771776199340821,
51
- "p90": 0.013880940437316894,
52
- "p95": 0.01410826263427734,
53
- "p99": 0.016204349441528324,
54
  "values": [
55
- 0.01801215934753418,
56
- 0.014447615623474122,
57
- 0.015501312255859375,
58
- 0.013527039527893067,
59
- 0.01305190372467041,
60
- 0.013038592338562012,
61
- 0.013094911575317383,
62
- 0.0133570556640625,
63
- 0.014325759887695312,
64
- 0.013722687721252442,
65
- 0.013628416061401367,
66
- 0.01345740795135498,
67
- 0.013478912353515626,
68
- 0.01348300838470459,
69
- 0.01347379207611084,
70
- 0.013521856307983398,
71
- 0.013472767829895019,
72
- 0.013415424346923829,
73
- 0.012883968353271484,
74
- 0.013730815887451172,
75
- 0.013963264465332031,
76
- 0.013942784309387207,
77
- 0.013884415626525879,
78
- 0.013864959716796875,
79
- 0.013831168174743653,
80
- 0.013836288452148437,
81
- 0.013836288452148437,
82
- 0.013834239959716797,
83
- 0.013819904327392578,
84
- 0.013845503807067871,
85
- 0.013817855834960938,
86
- 0.013841471672058105,
87
- 0.013867039680480957,
88
- 0.01384447956085205,
89
- 0.013782015800476074,
90
- 0.01378713607788086,
91
- 0.013819904327392578,
92
- 0.013789183616638183,
93
- 0.013826047897338867,
94
  0.013810688018798829,
95
- 0.013837311744689941,
96
- 0.013775872230529786,
97
- 0.013811712265014648,
98
- 0.013800479888916016,
99
- 0.01380352020263672,
100
- 0.013710335731506347,
101
- 0.013637632369995116,
102
- 0.013829119682312012,
103
- 0.013771776199340821,
104
- 0.013812735557556152,
105
- 0.013771776199340821,
106
- 0.013812735557556152,
107
- 0.013781951904296876,
108
- 0.013735936164855958,
109
- 0.013724672317504882,
110
- 0.013734911918640137,
111
- 0.013716480255126954,
112
- 0.013796352386474609,
113
- 0.013719552040100098,
114
- 0.013739007949829102,
115
- 0.013930496215820312,
116
- 0.013736960411071777,
117
- 0.013768704414367675,
118
- 0.013676544189453126,
119
- 0.013705216407775878,
120
- 0.013707263946533203,
121
- 0.01374617576599121,
122
- 0.013758463859558106,
123
  0.013711359977722168,
124
- 0.01374617576599121,
125
- 0.013684736251831055,
126
- 0.013737983703613281,
127
- 0.013716480255126954
 
 
 
 
 
 
 
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
- "value": 72.46229493690322
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
- "cpu": 1.5451539130437943e-07,
137
- "ram": 8.448102693223243e-08,
138
- "gpu": 3.3036822966233307e-07,
139
- "total": 5.693646478989449e-07
140
  },
141
  "efficiency": {
142
  "unit": "samples/kWh",
143
- "value": 1756343.6783266661
144
  }
145
  }
146
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 708.190208,
6
  "max_global_vram": 1403.518976,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.18128857421875,
15
+ "mean": 7.18128857421875,
16
  "stdev": 0.0,
17
+ "p50": 7.18128857421875,
18
+ "p90": 7.18128857421875,
19
+ "p95": 7.18128857421875,
20
+ "p99": 7.18128857421875,
21
  "values": [
22
+ 7.18128857421875
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0757363504833647e-06,
29
+ "ram": 5.740977431793226e-07,
30
+ "gpu": 1.8650014920046365e-06,
31
+ "total": 3.5148355856673235e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 990.507008,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 73,
47
+ "total": 1.0084702425003051,
48
+ "mean": 0.013814660856168564,
49
+ "stdev": 0.00043438161193976537,
50
+ "p50": 0.01363657569885254,
51
+ "p90": 0.014245068931579589,
52
+ "p95": 0.014325555229187012,
53
+ "p99": 0.015848734664916993,
54
  "values": [
55
+ 0.01577676773071289,
56
+ 0.014450688362121582,
57
+ 0.013873151779174805,
58
+ 0.013510656356811524,
59
+ 0.013545472145080567,
60
+ 0.013485055923461914,
61
+ 0.014064640045166015,
62
+ 0.014260255813598632,
63
+ 0.014314496040344238,
64
+ 0.013499391555786134,
65
+ 0.013562879562377929,
66
+ 0.013615103721618652,
67
+ 0.01358233642578125,
68
+ 0.013591551780700683,
69
+ 0.013675552368164062,
70
+ 0.014201855659484864,
71
+ 0.013434880256652832,
72
+ 0.013450240135192871,
73
+ 0.013492223739624023,
74
+ 0.013576191902160644,
75
+ 0.013856767654418945,
76
+ 0.013697024345397948,
77
+ 0.014116864204406738,
78
+ 0.01376153564453125,
79
+ 0.01367955207824707,
80
+ 0.013546496391296388,
81
+ 0.01348198413848877,
82
+ 0.013569024085998535,
83
+ 0.013755392074584961,
84
+ 0.013867008209228515,
85
+ 0.014292991638183594,
86
+ 0.014204928398132324,
87
+ 0.01386393642425537,
 
 
 
 
 
 
88
  0.013810688018798829,
89
+ 0.013791232109069825,
90
+ 0.013585439682006836,
91
+ 0.013486080169677735,
92
+ 0.014110719680786133,
93
+ 0.01603379249572754,
94
+ 0.014342144012451171,
95
+ 0.013897727966308594,
96
+ 0.014050304412841797,
97
+ 0.014065664291381836,
98
+ 0.014150655746459961,
99
+ 0.014255104064941406,
100
+ 0.01407590389251709,
101
+ 0.013690879821777344,
102
+ 0.013624320030212403,
103
+ 0.013641728401184081,
104
+ 0.013691904067993164,
105
+ 0.01358847999572754,
106
+ 0.01357420825958252,
107
+ 0.01355673599243164,
108
+ 0.013617152214050294,
109
+ 0.013618207931518555,
110
+ 0.013632512092590332,
111
+ 0.013921279907226563,
112
+ 0.013615103721618652,
113
+ 0.013729791641235351,
114
+ 0.01363657569885254,
115
+ 0.013922304153442382,
 
116
  0.013711359977722168,
117
+ 0.013607935905456543,
118
+ 0.0135731201171875,
119
+ 0.013570112228393555,
120
+ 0.013613056182861329,
121
+ 0.013570048332214356,
122
+ 0.013583423614501954,
123
+ 0.013596672058105469,
124
+ 0.013516799926757812,
125
+ 0.013565952301025391,
126
+ 0.01360588836669922,
127
+ 0.01358233642578125
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
+ "value": 72.38686569373702
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
+ "cpu": 1.5801083379321629e-07,
137
+ "ram": 8.639124426173717e-08,
138
+ "gpu": 3.585225090400416e-07,
139
+ "total": 6.029245870949952e-07
140
  },
141
  "efficiency": {
142
  "unit": "samples/kWh",
143
+ "value": 1658582.2197402653
144
  }
145
  }
146
  }