Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
1e9f7c9
·
verified ·
1 Parent(s): 1016c76

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

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json +99 -101
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": 707.678208,
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": 7.12871337890625,
15
- "mean": 7.12871337890625,
16
  "stdev": 0.0,
17
- "p50": 7.12871337890625,
18
- "p90": 7.12871337890625,
19
- "p95": 7.12871337890625,
20
- "p99": 7.12871337890625,
21
  "values": [
22
- 7.12871337890625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0476234886381362e-06,
29
- "ram": 5.586786789320778e-07,
30
- "gpu": 0.0,
31
- "total": 1.606302167570214e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 990.02368,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,107 +43,105 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 76,
47
- "total": 1.0032975397109984,
48
- "mean": 0.013201283417249982,
49
- "stdev": 0.0004879419353521708,
50
- "p50": 0.013124608039855958,
51
- "p90": 0.013720576286315917,
52
- "p95": 0.013783759832382203,
53
- "p99": 0.014864896297454834,
54
  "values": [
55
- 0.01508454418182373,
56
- 0.014791680335998534,
57
- 0.01377683162689209,
58
- 0.013594623565673827,
59
- 0.013804544448852539,
60
- 0.013050880432128906,
61
- 0.013046784400939941,
62
- 0.013415424346923829,
63
- 0.013684736251831055,
64
- 0.01356390380859375,
65
- 0.013557760238647461,
66
- 0.01369600009918213,
67
- 0.01367142391204834,
68
- 0.013541376113891602,
69
- 0.013389823913574218,
70
- 0.013146112442016602,
71
- 0.013080544471740722,
72
- 0.0134717435836792,
73
- 0.013137920379638672,
74
- 0.01359769630432129,
75
  0.013971455574035644,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
76
  0.013763584136962891,
77
- 0.013607935905456543,
78
- 0.013774847984313965,
79
- 0.013649920463562011,
80
- 0.013594623565673827,
81
- 0.013504511833190918,
82
- 0.013301759719848634,
83
- 0.013159423828125,
84
- 0.013100031852722169,
85
- 0.013116415977478027,
86
- 0.013084671974182128,
87
- 0.013477888107299805,
88
- 0.013519807815551758,
89
- 0.013239295959472656,
90
- 0.013131775856018067,
91
- 0.013234175682067872,
92
- 0.012982272148132324,
93
- 0.01291881561279297,
94
- 0.01307033634185791,
95
- 0.012860416412353515,
96
- 0.012725248336791992,
97
- 0.013255680084228515,
98
- 0.013628416061401367,
99
- 0.013745152473449707,
100
- 0.013554688453674316,
101
- 0.013393919944763183,
102
- 0.01335910415649414,
103
- 0.013223936080932617,
104
- 0.013117440223693847,
105
- 0.013016063690185547,
106
- 0.012981247901916505,
107
- 0.013038592338562012,
108
- 0.013044735908508302,
109
- 0.013017087936401368,
110
- 0.012997632026672363,
111
- 0.0130764799118042,
112
- 0.012676095962524414,
113
- 0.012606464385986327,
114
- 0.012739583969116211,
115
- 0.012597248077392579,
116
- 0.01260540771484375,
117
- 0.012649472236633302,
118
- 0.012623871803283691,
119
- 0.012591103553771972,
120
- 0.01268012809753418,
121
- 0.0126310396194458,
122
- 0.01265561580657959,
123
- 0.01259004783630371,
124
- 0.012606464385986327,
125
- 0.012606464385986327,
126
- 0.012609536170959473,
127
- 0.012604415893554688,
128
- 0.012610560417175292,
129
- 0.012667903900146485,
130
- 0.012602368354797363
131
  ]
132
  },
133
  "throughput": {
134
  "unit": "samples/s",
135
- "value": 75.75021067219194
136
  },
137
  "energy": {
138
  "unit": "kWh",
139
- "cpu": 1.5071958051955148e-07,
140
- "ram": 8.238161498343024e-08,
141
- "gpu": 3.419904283037955e-07,
142
- "total": 5.750916238067772e-07
143
  },
144
  "efficiency": {
145
  "unit": "samples/kWh",
146
- "value": 1738853.3558888803
147
  }
148
  }
149
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 707.8912,
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": 7.20964111328125,
15
+ "mean": 7.20964111328125,
16
  "stdev": 0.0,
17
+ "p50": 7.20964111328125,
18
+ "p90": 7.20964111328125,
19
+ "p95": 7.20964111328125,
20
+ "p99": 7.20964111328125,
21
  "values": [
22
+ 7.20964111328125
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.068446371290419e-06,
29
+ "ram": 5.675120922022833e-07,
30
+ "gpu": 1.7244458240008032e-06,
31
+ "total": 3.360404287493505e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 990.22848,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 74,
47
+ "total": 1.009374242782593,
48
+ "mean": 0.01364019247003504,
49
+ "stdev": 0.000513095938563319,
50
+ "p50": 0.013639679908752441,
51
+ "p90": 0.01406622085571289,
52
+ "p95": 0.014649518156051635,
53
+ "p99": 0.015094707708358761,
54
  "values": [
55
+ 0.015501312255859375,
56
+ 0.014937088012695313,
57
+ 0.01476198387145996,
58
+ 0.014350336074829101,
59
+ 0.014588959693908691,
60
+ 0.013826047897338867,
61
+ 0.013769663810729981,
62
+ 0.013915072441101075,
 
 
 
 
 
 
 
 
 
 
 
 
63
  0.013971455574035644,
64
+ 0.013837311744689941,
65
+ 0.013925439834594726,
66
+ 0.013998080253601074,
67
+ 0.013919232368469238,
68
+ 0.013846528053283692,
69
+ 0.013912063598632812,
70
+ 0.013810688018798829,
71
+ 0.01375641632080078,
72
+ 0.013741056442260742,
73
+ 0.013854720115661622,
74
+ 0.014022656440734863,
75
+ 0.01407699203491211,
76
+ 0.01494431972503662,
77
+ 0.014041088104248046,
78
+ 0.014022656440734863,
79
+ 0.01384447956085205,
80
+ 0.013648896217346192,
81
+ 0.01358847999572754,
82
+ 0.013840383529663085,
83
+ 0.013753408432006837,
84
+ 0.013543423652648925,
85
+ 0.013643775939941406,
86
+ 0.01388748836517334,
87
+ 0.013961248397827149,
88
+ 0.014014464378356933,
89
  0.013763584136962891,
90
+ 0.013635583877563476,
91
+ 0.013760512351989745,
92
+ 0.013585408210754395,
93
+ 0.013752320289611816,
94
+ 0.013505536079406738,
95
+ 0.013261823654174805,
96
+ 0.013549568176269532,
97
+ 0.013720576286315917,
98
+ 0.01419264030456543,
99
+ 0.013541536331176758,
100
+ 0.01325551986694336,
101
+ 0.013281279563903809,
102
+ 0.013148159980773925,
103
+ 0.013291520118713379,
104
+ 0.01314406394958496,
105
+ 0.013125632286071777,
106
+ 0.013133824348449707,
107
+ 0.013122559547424317,
108
+ 0.01319321632385254,
109
+ 0.013453311920166015,
110
+ 0.013253600120544433,
111
+ 0.013275135993957519,
112
+ 0.01325881576538086,
113
+ 0.013208576202392578,
114
+ 0.013180928230285644,
115
+ 0.013240256309509278,
116
+ 0.013154303550720215,
117
+ 0.013286399841308593,
118
+ 0.013245439529418946,
119
+ 0.013209600448608399,
120
+ 0.013579263687133789,
121
+ 0.013422592163085938,
122
+ 0.012744704246520995,
123
+ 0.012694527626037597,
124
+ 0.012780544281005859,
125
+ 0.01268835163116455,
126
+ 0.013476863861083984,
127
+ 0.01307545566558838,
128
+ 0.013123488426208496
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
129
  ]
130
  },
131
  "throughput": {
132
  "unit": "samples/s",
133
+ "value": 73.31274849653431
134
  },
135
  "energy": {
136
  "unit": "kWh",
137
+ "cpu": 1.499082804061525e-07,
138
+ "ram": 8.19581187092933e-08,
139
+ "gpu": 3.293392226835383e-07,
140
+ "total": 5.612056217989841e-07
141
  },
142
  "efficiency": {
143
  "unit": "samples/kWh",
144
+ "value": 1781878.0873834258
145
  }
146
  }
147
  }