IlyasMoutawwakil HF staff commited on
Commit
f9dcd52
·
verified ·
1 Parent(s): f2dd0bb

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 946.50368,
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": 4.293029002999987,
15
- "mean": 4.293029002999987,
16
  "stdev": 0.0,
17
- "p50": 4.293029002999987,
18
- "p90": 4.293029002999987,
19
- "p95": 4.293029002999987,
20
- "p99": 4.293029002999987,
21
  "values": [
22
- 4.293029002999987
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.8045130570729574e-05,
29
- "ram": 2.00805987602962e-06,
30
  "gpu": 0,
31
- "total": 5.0053190446759196e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 957.382656,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,54 +43,55 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 23,
47
- "total": 1.035964881999945,
48
- "mean": 0.04504195139130195,
49
- "stdev": 0.001451066946133706,
50
- "p50": 0.04535920299997542,
51
- "p90": 0.04627466819999313,
52
- "p95": 0.04661665600000049,
53
- "p99": 0.04688651924000851,
54
  "values": [
55
- 0.04535920299997542,
56
- 0.044911970000015344,
57
- 0.04364742100000285,
58
- 0.04606278499997529,
59
- 0.04542497500000309,
60
- 0.04574034499998447,
61
- 0.04469832999998857,
62
- 0.04407601100001557,
63
- 0.04490685999999755,
64
- 0.04664876900000081,
65
- 0.04509076200000095,
66
- 0.045376945999976215,
67
- 0.04394003699999871,
68
- 0.04695357700001068,
69
- 0.0453642329999866,
70
- 0.04632763899999759,
71
- 0.04529444300001728,
72
- 0.0448922120000077,
73
- 0.044852658999985806,
74
- 0.045969451000019035,
75
- 0.04558549600000106,
76
- 0.04552486499997599,
77
- 0.03931589300000837
 
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
- "value": 22.201524781031356
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
- "cpu": 1.5173412795759676e-06,
87
- "ram": 6.341285980795419e-08,
88
  "gpu": 0.0,
89
- "total": 1.5807541393839219e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
- "value": 632609.4457609562
94
  }
95
  }
96
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 946.651136,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.339786358000026,
15
+ "mean": 4.339786358000026,
16
  "stdev": 0.0,
17
+ "p50": 4.339786358000026,
18
+ "p90": 4.339786358000026,
19
+ "p95": 4.339786358000026,
20
+ "p99": 4.339786358000026,
21
  "values": [
22
+ 4.339786358000026
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.723294576009115e-05,
29
+ "ram": 1.9740955343915325e-06,
30
  "gpu": 0,
31
+ "total": 4.9207041294482683e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 957.530112,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 24,
47
+ "total": 1.0359348039999077,
48
+ "mean": 0.04316395016666282,
49
+ "stdev": 0.0016517898380516759,
50
+ "p50": 0.04373134349998509,
51
+ "p90": 0.04439584349999563,
52
+ "p95": 0.04468692015000499,
53
+ "p99": 0.0458444109699866,
54
  "values": [
55
+ 0.04431912000001148,
56
+ 0.043445011999949656,
57
+ 0.043427049000001716,
58
+ 0.04368850800000246,
59
+ 0.04395960599998716,
60
+ 0.04386692299999595,
61
+ 0.044732484000007844,
62
+ 0.04396754100002909,
63
+ 0.04417020100004265,
64
+ 0.044088977999990675,
65
+ 0.04314569199999596,
66
+ 0.043953694999970594,
67
+ 0.04344359899999972,
68
+ 0.044428724999988845,
69
+ 0.04327798900004609,
70
+ 0.04377483999996912,
71
+ 0.04377417899996772,
72
+ 0.04617654499998025,
73
+ 0.04027074599997604,
74
+ 0.03993644999997059,
75
+ 0.039968940999983715,
76
+ 0.04058759000002965,
77
+ 0.04348859399999583,
78
+ 0.04004179700001487
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
+ "value": 23.167481107239773
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
+ "cpu": 1.572284539540609e-06,
88
+ "ram": 6.570596624484702e-08,
89
  "gpu": 0.0,
90
+ "total": 1.637990505785456e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
+ "value": 610504.1491192746
95
  }
96
  }
97
  }