IlyasMoutawwakil HF staff commited on
Commit
5e6e6e2
1 Parent(s): 8a0225b

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 939.667456,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 4.487884312000006,
15
- "mean": 4.487884312000006,
16
  "stdev": 0.0,
17
- "p50": 4.487884312000006,
18
- "p90": 4.487884312000006,
19
- "p95": 4.487884312000006,
20
- "p99": 4.487884312000006,
21
  "values": [
22
- 4.487884312000006
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.8188781316667614e-05,
29
- "ram": 2.015170062308761e-06,
30
  "gpu": 0,
31
- "total": 5.020395137897637e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 947.531776,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,60 +43,63 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 29,
47
- "total": 1.0211837779997381,
48
- "mean": 0.0352132337241289,
49
- "stdev": 0.0011159491761370895,
50
- "p50": 0.03549625699997705,
51
- "p90": 0.03625610340000094,
52
- "p95": 0.03642273559999012,
53
- "p99": 0.036868923759957394,
54
  "values": [
55
- 0.03569150299995272,
56
- 0.03480440399999907,
57
- 0.03588841999999204,
58
- 0.03366191899999649,
59
- 0.037013272999956826,
60
- 0.035553613999979916,
61
- 0.03529954900000121,
62
- 0.034895393999988755,
63
- 0.03549633800002994,
64
- 0.03432360599998674,
65
- 0.035078257000009216,
66
- 0.03610603699996773,
67
- 0.03529822799998783,
68
- 0.03507821599998806,
69
- 0.03549625699997705,
70
- 0.033854990999998336,
71
- 0.03540494700001773,
72
- 0.03468415999998342,
73
- 0.03649773999995887,
74
- 0.036310229000037,
75
- 0.03603907199999412,
76
- 0.03575771599997779,
77
- 0.03450773999998091,
78
- 0.03596425199998521,
79
- 0.03591543999999658,
80
- 0.036242571999991924,
81
- 0.03566351000000623,
82
- 0.033363171000019065,
83
- 0.03129322299997739
 
 
 
84
  ]
85
  },
86
  "throughput": {
87
  "unit": "samples/s",
88
- "value": 28.398414296008763
89
  },
90
  "energy": {
91
  "unit": "kWh",
92
- "cpu": 1.1618604106209116e-06,
93
- "ram": 4.858422619567677e-08,
94
  "gpu": 0.0,
95
- "total": 1.2104446368165883e-06
96
  },
97
  "efficiency": {
98
  "unit": "samples/kWh",
99
- "value": 826142.6996198293
100
  }
101
  }
102
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 941.727744,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.3033374210000375,
15
+ "mean": 4.3033374210000375,
16
  "stdev": 0.0,
17
+ "p50": 4.3033374210000375,
18
+ "p90": 4.3033374210000375,
19
+ "p95": 4.3033374210000375,
20
+ "p99": 4.3033374210000375,
21
  "values": [
22
+ 4.3033374210000375
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.786615473888832e-05,
29
+ "ram": 2.0016695482518363e-06,
30
  "gpu": 0,
31
+ "total": 4.986782428714016e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 949.32992,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 32,
47
+ "total": 1.0022139179999385,
48
+ "mean": 0.03131918493749808,
49
+ "stdev": 0.0011120859022971867,
50
+ "p50": 0.031011398000003965,
51
+ "p90": 0.033177657100014815,
52
+ "p95": 0.03357992884999703,
53
+ "p99": 0.034859658069988204,
54
  "values": [
55
+ 0.03150107999999818,
56
+ 0.0333409670000151,
57
+ 0.033624970000005305,
58
+ 0.03354307699999026,
59
+ 0.03147912899999028,
60
+ 0.03106912199996259,
61
+ 0.03096780199996374,
62
+ 0.030589622999968924,
63
+ 0.03098881099998607,
64
+ 0.030521364999970046,
65
+ 0.030226462000030097,
66
+ 0.03063110099998312,
67
+ 0.031034567000006064,
68
+ 0.03146954200002483,
69
+ 0.03086422799998445,
70
+ 0.030841173999988314,
71
+ 0.030765643000052023,
72
+ 0.030568232000007356,
73
+ 0.030294439999977385,
74
+ 0.030526495000003706,
75
+ 0.031286749000003056,
76
+ 0.031102513999996972,
77
+ 0.03159789199997931,
78
+ 0.031181542000012996,
79
+ 0.03065279200001214,
80
+ 0.030617194999990716,
81
+ 0.030718795000041155,
82
+ 0.03170786800001224,
83
+ 0.03143298399999139,
84
+ 0.031033985000021858,
85
+ 0.035414372999980515,
86
+ 0.030619398999988334
87
  ]
88
  },
89
  "throughput": {
90
  "unit": "samples/s",
91
+ "value": 31.929311123378316
92
  },
93
  "energy": {
94
  "unit": "kWh",
95
+ "cpu": 1.184169689393898e-06,
96
+ "ram": 4.95165526829883e-08,
97
  "gpu": 0.0,
98
+ "total": 1.2336862420768862e-06
99
  },
100
  "efficiency": {
101
  "unit": "samples/kWh",
102
+ "value": 810578.869969823
103
  }
104
  }
105
  }