IlyasMoutawwakil HF staff commited on
Commit
43d849d
1 Parent(s): 595a692

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": 939.507712,
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": 4.581912145999979,
15
- "mean": 4.581912145999979,
16
  "stdev": 0.0,
17
- "p50": 4.581912145999979,
18
- "p90": 4.581912145999979,
19
- "p95": 4.581912145999979,
20
- "p99": 4.581912145999979,
21
  "values": [
22
- 4.581912145999979
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.861640968333253e-05,
29
- "ram": 2.033076243329441e-06,
30
  "gpu": 0,
31
- "total": 5.064948592666197e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 947.24096,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,57 +43,58 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 26,
47
- "total": 0.9995534419999785,
48
- "mean": 0.03844436315384533,
49
- "stdev": 0.00471815092505518,
50
- "p50": 0.0359381350000092,
51
- "p90": 0.04314434899998787,
52
- "p95": 0.046185343499999476,
53
- "p99": 0.05325194249999754,
54
  "values": [
55
- 0.03580151300002399,
56
- 0.035642451000001074,
57
- 0.034802357999978994,
58
- 0.03491644999996879,
59
- 0.03509152599997378,
60
- 0.038099268999985725,
61
- 0.03595674500002133,
62
- 0.03552526199996464,
63
- 0.03487077599999111,
64
- 0.03751717599999438,
65
- 0.05538850499999626,
66
- 0.04421460899999374,
67
- 0.04134353099999544,
68
- 0.041230820999999196,
69
- 0.04123615100002098,
70
- 0.042074088999981996,
71
- 0.04127345099999502,
72
- 0.039252994000037233,
73
- 0.035006567999971594,
74
- 0.03600642700001799,
75
- 0.03568456900001138,
76
- 0.04684225500000139,
77
- 0.03557814100003043,
78
- 0.035159603000010975,
79
- 0.03511867700001403,
80
- 0.035919524999997066
 
81
  ]
82
  },
83
  "throughput": {
84
  "unit": "samples/s",
85
- "value": 26.011615695082124
86
  },
87
  "energy": {
88
  "unit": "kWh",
89
- "cpu": 1.3526477892720306e-06,
90
- "ram": 5.656114177529727e-08,
91
  "gpu": 0.0,
92
- "total": 1.4092089310473279e-06
93
  },
94
  "efficiency": {
95
  "unit": "samples/kWh",
96
- "value": 709617.9835141957
97
  }
98
  }
99
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 941.969408,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.558527577000007,
15
+ "mean": 4.558527577000007,
16
  "stdev": 0.0,
17
+ "p50": 4.558527577000007,
18
+ "p90": 4.558527577000007,
19
+ "p95": 4.558527577000007,
20
+ "p99": 4.558527577000007,
21
  "values": [
22
+ 4.558527577000007
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.836422340555468e-05,
29
+ "ram": 2.0225337612516256e-06,
30
  "gpu": 0,
31
+ "total": 5.0386757166806306e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 949.702656,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 27,
47
+ "total": 1.004223551999928,
48
+ "mean": 0.037193464888886224,
49
+ "stdev": 0.0019182890466073984,
50
+ "p50": 0.037539100999993025,
51
+ "p90": 0.038704262400005976,
52
+ "p95": 0.03986936219996551,
53
+ "p99": 0.04037459481998553,
54
  "values": [
55
+ 0.03770899799997096,
56
+ 0.03737429299997075,
57
+ 0.038284754000017074,
58
+ 0.036765656000000035,
59
+ 0.03842475600004036,
60
+ 0.03739304800001264,
61
+ 0.036988762999953906,
62
+ 0.036729599000011603,
63
+ 0.037218082000038066,
64
+ 0.03550815699998111,
65
+ 0.03690160000002152,
66
+ 0.04018900799997027,
67
+ 0.03832470899999407,
68
+ 0.03771184400000038,
69
+ 0.03748958799997126,
70
+ 0.037749935000022106,
71
+ 0.037539100999993025,
72
+ 0.03811794300003157,
73
+ 0.03912352199995439,
74
+ 0.03821026600002142,
75
+ 0.037993249999999534,
76
+ 0.038231495000047744,
77
+ 0.040439800999990894,
78
+ 0.035883558000023186,
79
+ 0.03294019799994885,
80
+ 0.03249303299998019,
81
+ 0.03248859499996115
82
  ]
83
  },
84
  "throughput": {
85
  "unit": "samples/s",
86
+ "value": 26.886443706910725
87
  },
88
  "energy": {
89
  "unit": "kWh",
90
+ "cpu": 1.2712145005376729e-06,
91
+ "ram": 5.315654987632171e-08,
92
  "gpu": 0.0,
93
+ "total": 1.3243710504139945e-06
94
  },
95
  "efficiency": {
96
  "unit": "samples/kWh",
97
+ "value": 755075.3995169277
98
  }
99
  }
100
  }