Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
0c1b593
·
verified ·
1 Parent(s): f0ef508

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 +97 -96
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": 797.696,
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": 7.9137587890625,
15
- "mean": 7.9137587890625,
16
  "stdev": 0.0,
17
- "p50": 7.9137587890625,
18
- "p90": 7.9137587890625,
19
- "p95": 7.9137587890625,
20
- "p99": 7.9137587890625,
21
  "values": [
22
- 7.9137587890625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.879826368054822e-07,
29
- "ram": 4.97481738067504e-07,
30
- "gpu": 0.0,
31
- "total": 1.4854643748729862e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 1185.558528,
39
  "max_global_vram": 1434.976256,
40
  "max_process_vram": 0.0,
41
  "max_reserved": 794.820608,
@@ -43,102 +43,103 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 71,
47
- "total": 1.0025191984176636,
48
- "mean": 0.014119988710107938,
49
- "stdev": 0.00031121788049334634,
50
- "p50": 0.014034943580627441,
51
- "p90": 0.014678943634033203,
52
- "p95": 0.014763008117675782,
53
- "p99": 0.015045631980895997,
54
  "values": [
55
- 0.014953472137451173,
56
- 0.014739456176757813,
57
- 0.014678943634033203,
58
- 0.015260671615600586,
59
- 0.013946880340576171,
60
- 0.014111743927001954,
61
- 0.01406873607635498,
62
- 0.014475263595581055,
63
- 0.013797375679016113,
64
- 0.013875200271606445,
65
- 0.014112768173217773,
66
- 0.014024703979492188,
67
- 0.014244864463806153,
68
- 0.013825023651123047,
69
- 0.0139683837890625,
70
- 0.014043999671936034,
71
- 0.014137344360351562,
 
72
  0.013820927619934082,
73
- 0.013955103874206542,
74
- 0.01427558422088623,
75
- 0.013815808296203613,
76
- 0.013902848243713378,
77
- 0.013944992065429688,
78
- 0.013882304191589355,
79
- 0.013806655883789062,
80
- 0.013888511657714844,
81
- 0.014321503639221191,
82
- 0.013986975669860839,
83
- 0.013864959716796875,
84
- 0.013873120307922364,
85
- 0.014163968086242675,
86
- 0.013896703720092773,
87
- 0.014098431587219238,
88
- 0.013998080253601074,
89
- 0.014059328079223632,
90
- 0.013957119941711426,
91
- 0.013903871536254882,
92
- 0.013792096138000488,
93
- 0.013925375938415528,
94
- 0.01376460838317871,
95
- 0.014112768173217773,
96
- 0.014665727615356445,
97
- 0.014140416145324707,
98
- 0.013963232040405274,
99
- 0.013924351692199707,
100
- 0.013924351692199707,
101
- 0.013869088172912597,
102
- 0.013906944274902343,
103
- 0.014034943580627441,
104
- 0.01399295997619629,
105
- 0.013974528312683105,
106
- 0.013894720077514649,
107
- 0.014722047805786133,
108
- 0.014682111740112304,
 
 
 
 
 
 
 
 
 
 
109
  0.01486847972869873,
110
- 0.014495743751525878,
111
- 0.014369791984558105,
112
- 0.01478656005859375,
113
- 0.014217215538024902,
114
- 0.01397862434387207,
115
- 0.014129152297973633,
116
- 0.014054400444030762,
117
- 0.014014464378356933,
118
- 0.014056544303894043,
119
- 0.014284799575805664,
120
- 0.013989888191223144,
121
- 0.014035967826843262,
122
- 0.014073792457580567,
123
- 0.014050304412841797,
124
- 0.014062591552734375,
125
- 0.014078975677490235
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
- "value": 70.82158637167605
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
- "cpu": 1.643544238774682e-07,
135
- "ram": 8.97711578787653e-08,
136
- "gpu": 3.3912888621917203e-07,
137
- "total": 5.932544679754054e-07
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
- "value": 1685617.3092344194
142
  }
143
  }
144
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 797.773824,
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": 7.83820068359375,
15
+ "mean": 7.83820068359375,
16
  "stdev": 0.0,
17
+ "p50": 7.83820068359375,
18
+ "p90": 7.83820068359375,
19
+ "p95": 7.83820068359375,
20
+ "p99": 7.83820068359375,
21
  "values": [
22
+ 7.83820068359375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.466797437503438e-07,
29
+ "ram": 5.031451344015959e-07,
30
+ "gpu": 1.7802792019998986e-06,
31
+ "total": 3.2301040801518385e-06
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 1185.865728,
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": 1.0023484115600583,
48
+ "mean": 0.013921505716111924,
49
+ "stdev": 0.0005006937407330655,
50
+ "p50": 0.013623295783996582,
51
+ "p90": 0.014561075019836426,
52
+ "p95": 0.014950502109527588,
53
+ "p99": 0.015364484834671023,
54
  "values": [
55
+ 0.015598591804504394,
56
+ 0.015268863677978516,
57
+ 0.01511526393890381,
58
+ 0.013908991813659668,
59
+ 0.013652992248535157,
60
+ 0.013596672058105469,
61
+ 0.013652992248535157,
62
+ 0.013626336097717285,
63
+ 0.013622271537780761,
64
+ 0.013553664207458497,
65
+ 0.013566975593566894,
66
+ 0.013628416061401367,
67
+ 0.013579263687133789,
68
+ 0.013567935943603516,
69
+ 0.01356390380859375,
70
+ 0.013594623565673827,
71
+ 0.013603839874267578,
72
+ 0.01366220760345459,
73
  0.013820927619934082,
74
+ 0.013659135818481445,
75
+ 0.013682720184326171,
76
+ 0.013624320030212403,
77
+ 0.013883392333984374,
78
+ 0.014003199577331543,
79
+ 0.013692928314208984,
80
+ 0.013620223999023438,
81
+ 0.013549568176269532,
82
+ 0.013594623565673827,
83
+ 0.013560832023620606,
84
+ 0.013558783531188966,
85
+ 0.013586432456970214,
86
+ 0.013576255798339844,
87
+ 0.013609984397888183,
88
+ 0.013557760238647461,
89
+ 0.013570015907287597,
90
+ 0.013570048332214356,
91
+ 0.013558783531188966,
92
+ 0.013593600273132325,
93
+ 0.013576191902160644,
94
+ 0.013534208297729493,
95
+ 0.013579232215881348,
96
+ 0.0135731201171875,
97
+ 0.013572031974792481,
98
+ 0.013604864120483399,
99
+ 0.013586432456970214,
100
+ 0.013648896217346192,
101
+ 0.013601792335510255,
102
+ 0.013584383964538574,
103
+ 0.013558783531188966,
104
+ 0.013530112266540528,
105
+ 0.013565952301025391,
106
+ 0.013594623565673827,
107
+ 0.013595647811889648,
108
+ 0.014411775588989258,
109
+ 0.01438003158569336,
110
+ 0.014377984046936035,
111
+ 0.014403583526611329,
112
+ 0.014424063682556153,
113
+ 0.014418944358825684,
114
+ 0.01436569595336914,
115
+ 0.014352383613586426,
116
+ 0.014332927703857423,
117
+ 0.014342144012451171,
118
+ 0.014318592071533203,
119
+ 0.014753791809082031,
120
  0.01486847972869873,
121
+ 0.015050751686096191,
122
+ 0.014701567649841308,
123
+ 0.014467071533203125,
124
+ 0.014423040390014649,
125
+ 0.014440447807312011,
126
+ 0.01457151985168457
 
 
 
 
 
 
 
 
 
 
127
  ]
128
  },
129
  "throughput": {
130
  "unit": "samples/s",
131
+ "value": 71.83131052000067
132
  },
133
  "energy": {
134
  "unit": "kWh",
135
+ "cpu": 1.6765938083919705e-07,
136
+ "ram": 9.156234445241707e-08,
137
+ "gpu": 3.711661811267508e-07,
138
+ "total": 6.303879064183649e-07
139
  },
140
  "efficiency": {
141
  "unit": "samples/kWh",
142
+ "value": 1586324.8482694358
143
  }
144
  }
145
  }