Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
1165733
·
verified ·
1 Parent(s): 730a4de

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 +98 -100
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": 707.612672,
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": 7.236951171875,
15
- "mean": 7.236951171875,
16
  "stdev": 0.0,
17
- "p50": 7.236951171875,
18
- "p90": 7.236951171875,
19
- "p95": 7.236951171875,
20
- "p99": 7.236951171875,
21
  "values": [
22
- 7.236951171875
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0940316650602554e-06,
29
- "ram": 5.816122314425342e-07,
30
- "gpu": 1.8741681660000217e-06,
31
- "total": 3.5498120625028113e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 989.978624,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,105 +43,103 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 74,
47
- "total": 1.0004031057357787,
48
- "mean": 0.013518960888321337,
49
- "stdev": 0.00042645306467285174,
50
- "p50": 0.013567488193511962,
51
- "p90": 0.014061158466339112,
52
- "p95": 0.014207078647613525,
53
- "p99": 0.01467279335975647,
54
  "values": [
55
- 0.014874624252319337,
56
- 0.014598143577575684,
57
- 0.013903871536254882,
58
- 0.013622271537780761,
59
- 0.013601792335510255,
60
- 0.013641728401184081,
61
- 0.013443072319030762,
62
- 0.01359769630432129,
63
- 0.01368166446685791,
64
- 0.013697024345397948,
65
- 0.013488127708435058,
66
- 0.013726719856262207,
67
- 0.013633536338806153,
68
- 0.013617152214050294,
69
- 0.013559840202331542,
70
- 0.013606911659240722,
71
- 0.013493247985839844,
72
- 0.013478912353515626,
73
- 0.013468671798706054,
74
- 0.013503487586975099,
75
- 0.01386291217803955,
76
- 0.013839360237121581,
77
- 0.013741056442260742,
78
- 0.013511679649353027,
79
- 0.013845439910888671,
80
- 0.013504511833190918,
81
- 0.013656064033508301,
82
- 0.013599743843078613,
83
- 0.013701120376586913,
84
- 0.013458432197570801,
85
- 0.01348300838470459,
86
- 0.013478912353515626,
87
- 0.013798399925231934,
88
- 0.013998080253601074,
89
- 0.013843456268310546,
90
- 0.013660160064697266,
91
- 0.01360588836669922,
92
- 0.013560832023620606,
93
- 0.013574144363403321,
94
- 0.013401087760925292,
95
- 0.013412351608276368,
96
- 0.014149632453918457,
97
- 0.013926400184631347,
98
- 0.014204928398132324,
99
- 0.014118911743164063,
100
- 0.01425715160369873,
101
- 0.014088191986083985,
102
- 0.014211071968078613,
103
- 0.013910016059875489,
104
- 0.013650943756103515,
105
  0.013678591728210449,
106
- 0.013661184310913087,
107
- 0.013022208213806152,
108
- 0.012970047950744629,
109
- 0.01311849594116211,
110
- 0.013035519599914551,
111
- 0.012942336082458495,
112
- 0.013117440223693847,
113
- 0.012932095527648926,
114
- 0.012922880172729492,
115
- 0.012939264297485351,
116
- 0.012956671714782715,
117
- 0.012937215805053711,
118
- 0.012948479652404785,
119
- 0.012957695960998536,
120
- 0.013117504119873048,
121
- 0.012957695960998536,
122
- 0.013089792251586914,
123
- 0.012962847709655763,
124
- 0.012989439964294434,
125
- 0.01295257568359375,
126
- 0.012956671714782715,
127
- 0.0129617919921875,
128
- 0.012982272148132324
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
129
  ]
130
  },
131
  "throughput": {
132
  "unit": "samples/s",
133
- "value": 73.97018219528047
134
  },
135
  "energy": {
136
  "unit": "kWh",
137
- "cpu": 1.5665622351810947e-07,
138
- "ram": 8.543569180856294e-08,
139
- "gpu": 3.4277805199999606e-07,
140
- "total": 5.848699673266685e-07
141
  },
142
  "efficiency": {
143
  "unit": "samples/kWh",
144
- "value": 1709781.756397603
145
  }
146
  }
147
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 707.629056,
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": 7.19507861328125,
15
+ "mean": 7.19507861328125,
16
  "stdev": 0.0,
17
+ "p50": 7.19507861328125,
18
+ "p90": 7.19507861328125,
19
+ "p95": 7.19507861328125,
20
+ "p99": 7.19507861328125,
21
  "values": [
22
+ 7.19507861328125
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0993823409080506e-06,
29
+ "ram": 5.868434756617564e-07,
30
+ "gpu": 1.8180570100015392e-06,
31
+ "total": 3.5042828265713464e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 989.98272,
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": 72,
47
+ "total": 1.0073076734542845,
48
+ "mean": 0.013990384353531733,
49
+ "stdev": 0.0004183117972242149,
50
+ "p50": 0.013936127662658691,
51
+ "p90": 0.014330675315856934,
52
+ "p95": 0.014572748804092407,
53
+ "p99": 0.015621703376770022,
54
  "values": [
55
+ 0.015863807678222656,
56
+ 0.015522815704345704,
57
+ 0.015171584129333495,
58
+ 0.014716927528381347,
59
+ 0.013472767829895019,
60
+ 0.013313023567199708,
61
+ 0.013290495872497558,
62
+ 0.013253631591796875,
63
+ 0.01326796817779541,
64
+ 0.013261823654174805,
65
+ 0.013760512351989745,
66
+ 0.013938688278198242,
67
+ 0.013924351692199707,
68
+ 0.013742079734802246,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
69
  0.013678591728210449,
70
+ 0.014089216232299804,
71
+ 0.014021568298339844,
72
+ 0.013924351692199707,
73
+ 0.01388748836517334,
74
+ 0.01389363193511963,
75
+ 0.013864959716796875,
76
+ 0.013910016059875489,
77
+ 0.014024703979492188,
78
+ 0.014166015625,
79
+ 0.013944831848144532,
80
+ 0.013935615539550781,
81
+ 0.013921279907226563,
82
+ 0.013864992141723632,
83
+ 0.013936639785766602,
84
+ 0.01389363193511963,
85
+ 0.013896703720092773,
86
+ 0.01394380760192871,
87
+ 0.013929471969604493,
88
+ 0.01386905574798584,
89
+ 0.013897727966308594,
90
+ 0.013872127532958984,
91
+ 0.01388646411895752,
92
+ 0.013846528053283692,
93
+ 0.014106592178344727,
94
+ 0.014129152297973633,
95
+ 0.014006272315979004,
96
+ 0.013786111831665039,
97
+ 0.01398681640625,
98
+ 0.01400115203857422,
99
+ 0.014009344100952148,
100
+ 0.01406668758392334,
101
+ 0.014328831672668458,
102
+ 0.014407679557800293,
103
+ 0.014330880165100097,
104
+ 0.014201855659484864,
105
+ 0.013947903633117676,
106
+ 0.013928447723388672,
107
+ 0.013867008209228515,
108
+ 0.013922304153442382,
109
+ 0.014023679733276367,
110
+ 0.013922304153442382,
111
+ 0.013937631607055663,
112
+ 0.013939711570739746,
113
+ 0.013903871536254882,
114
+ 0.014030847549438476,
115
+ 0.01325977611541748,
116
+ 0.014353407859802245,
117
+ 0.01428889560699463,
118
+ 0.014015487670898438,
119
+ 0.013900799751281738,
120
+ 0.014454784393310547,
121
+ 0.013959168434143066,
122
+ 0.01398681640625,
123
+ 0.013938688278198242,
124
+ 0.013921279907226563,
125
+ 0.013880319595336914,
126
+ 0.013963264465332031
127
  ]
128
  },
129
  "throughput": {
130
  "unit": "samples/s",
131
+ "value": 71.4776645680617
132
  },
133
  "energy": {
134
  "unit": "kWh",
135
+ "cpu": 1.5989234270872897e-07,
136
+ "ram": 8.742592329576079e-08,
137
+ "gpu": 3.532150973866814e-07,
138
+ "total": 6.00533363391171e-07
139
  },
140
  "efficiency": {
141
  "unit": "samples/kWh",
142
+ "value": 1665186.417542346
143
  }
144
  }
145
  }