Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
1330d8d
•
1 Parent(s): 5612f59

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

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json +46 -46
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": 941.985792,
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": 4.436913949999962,
15
- "mean": 4.436913949999962,
16
  "stdev": 0.0,
17
- "p50": 4.436913949999962,
18
- "p90": 4.436913949999962,
19
- "p95": 4.436913949999962,
20
- "p99": 4.436913949999962,
21
  "values": [
22
- 4.436913949999962
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.9861742390526674e-05,
29
- "ram": 2.084000271239574e-06,
30
  "gpu": 0,
31
- "total": 5.194574266176625e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 952.99584,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,52 +44,52 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 22,
47
- "total": 1.018725495999945,
48
- "mean": 0.04630570436363386,
49
- "stdev": 0.0016219063785430773,
50
- "p50": 0.0465832765000016,
51
- "p90": 0.047673959999980295,
52
- "p95": 0.0479577052000252,
53
- "p99": 0.04864928963999546,
54
  "values": [
55
- 0.046703432000015255,
56
- 0.04739075699995965,
57
- 0.04599078799998324,
58
- 0.04715442500003064,
59
- 0.047065118999967126,
60
- 0.04714942499998642,
61
- 0.047970983000027445,
62
- 0.04556456000000253,
63
- 0.048829598999986956,
64
- 0.04649232600002051,
65
- 0.046020003000023735,
66
- 0.04667422699998269,
67
- 0.04770542699998259,
68
- 0.04561980500000118,
69
- 0.047197906999997485,
70
- 0.046031905000006645,
71
- 0.04717936299999792,
72
- 0.04551146199997902,
73
- 0.04632535400003235,
74
- 0.04590710200000103,
75
- 0.043637817999979234,
76
- 0.040603708999981336
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
- "value": 21.595611463916075
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
- "cpu": 1.5806191762288413e-06,
86
- "ram": 6.6057372667683e-08,
87
  "gpu": 0.0,
88
- "total": 1.6466765488965241e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
- "value": 607283.8048675212
93
  }
94
  }
95
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 941.056,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.3807628159999865,
15
+ "mean": 4.3807628159999865,
16
  "stdev": 0.0,
17
+ "p50": 4.3807628159999865,
18
+ "p90": 4.3807628159999865,
19
+ "p95": 4.3807628159999865,
20
+ "p99": 4.3807628159999865,
21
  "values": [
22
+ 4.3807628159999865
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.81654789712694e-05,
29
+ "ram": 2.0130601926678082e-06,
30
  "gpu": 0,
31
+ "total": 5.017853916393721e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 952.328192,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 22,
47
+ "total": 1.0284933979998527,
48
+ "mean": 0.046749699909084216,
49
+ "stdev": 0.0016976149077999399,
50
+ "p50": 0.04672278199998914,
51
+ "p90": 0.04868263090002074,
52
+ "p95": 0.04895839505002471,
53
+ "p99": 0.04906854406997809,
54
  "values": [
55
+ 0.046483242999954655,
56
+ 0.04725140599998667,
57
+ 0.04909456999996564,
58
+ 0.04872579800002086,
59
+ 0.04806043599995746,
60
+ 0.04636730400000033,
61
+ 0.046912117999966085,
62
+ 0.0450125190000108,
63
+ 0.047753139000008105,
64
+ 0.04621768300000895,
65
+ 0.0461926559999597,
66
+ 0.04673231999998961,
67
+ 0.04897063700002491,
68
+ 0.04697032799998624,
69
+ 0.04829412700001967,
70
+ 0.04621456699999271,
71
+ 0.046533477000025414,
72
+ 0.04671324399998866,
73
+ 0.04828725300001224,
74
+ 0.046591736999971545,
75
+ 0.043538807000004454,
76
+ 0.041576028999998016
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
+ "value": 21.39051163846474
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
+ "cpu": 1.5469212817330648e-06,
86
+ "ram": 6.46490974823494e-08,
87
  "gpu": 0.0,
88
+ "total": 1.6115703792154142e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
+ "value": 620512.7699646885
93
  }
94
  }
95
  }