IlyasMoutawwakil HF staff commited on
Commit
d00f32b
1 Parent(s): a4af56b

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": 941.71136,
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": 4.305357962000016,
15
- "mean": 4.305357962000016,
16
  "stdev": 0.0,
17
- "p50": 4.305357962000016,
18
- "p90": 4.305357962000016,
19
- "p95": 4.305357962000016,
20
- "p99": 4.305357962000016,
21
  "values": [
22
- 4.305357962000016
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.7102515133333455e-05,
29
- "ram": 1.9697294419713295e-06,
30
  "gpu": 0,
31
- "total": 4.9072244575304786e-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,
@@ -43,55 +43,53 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 24,
47
- "total": 1.0347979349999719,
48
- "mean": 0.043116580624998825,
49
- "stdev": 0.0029879573192380634,
50
- "p50": 0.044324920499974496,
51
- "p90": 0.0461405021999667,
52
- "p95": 0.04711345805003475,
53
- "p99": 0.04753872928000476,
54
  "values": [
55
- 0.04016802699999289,
56
- 0.040061027000035665,
57
- 0.03982360200001267,
58
- 0.039706393000017215,
59
- 0.039485439000031874,
60
- 0.04048962899997832,
61
- 0.04127298499997778,
62
- 0.04210050299997192,
63
- 0.039472414999977445,
64
- 0.047273954000047524,
65
- 0.0453951680000273,
66
- 0.0455995620000067,
67
- 0.045676455000034366,
68
- 0.04577762399998164,
69
- 0.04620398099996237,
70
- 0.047617817999991985,
71
- 0.04575463100002253,
72
- 0.04450833899994677,
73
- 0.04599238499997682,
74
- 0.04524614899997914,
75
- 0.045317823000004864,
76
- 0.04414150200000222,
77
- 0.038822858999992604,
78
- 0.03888966499999924
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
- "value": 23.192933797264153
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
- "cpu": 1.5262028294872035e-06,
88
- "ram": 6.382000417422143e-08,
89
  "gpu": 0.0,
90
- "total": 1.5900228336614249e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
- "value": 628921.7857942644
95
  }
96
  }
97
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 941.510656,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.418061781999995,
15
+ "mean": 4.418061781999995,
16
  "stdev": 0.0,
17
+ "p50": 4.418061781999995,
18
+ "p90": 4.418061781999995,
19
+ "p95": 4.418061781999995,
20
+ "p99": 4.418061781999995,
21
  "values": [
22
+ 4.418061781999995
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.742780731111225e-05,
29
+ "ram": 1.9833599531719373e-06,
30
  "gpu": 0,
31
+ "total": 4.941116726428419e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 952.209408,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 22,
47
+ "total": 1.0125694159999057,
48
+ "mean": 0.04602588254545026,
49
+ "stdev": 0.0027841947595141523,
50
+ "p50": 0.046805976499996405,
51
+ "p90": 0.04821467840002356,
52
+ "p95": 0.048527689849959185,
53
+ "p99": 0.049086933060001454,
54
  "values": [
55
+ 0.04744106200001852,
56
+ 0.04854316499995548,
57
+ 0.04552028799997743,
58
+ 0.047554714999989756,
59
+ 0.04678238200000351,
60
+ 0.04631445199999007,
61
+ 0.0468295709999893,
62
+ 0.04566601200002651,
63
+ 0.04923147900001368,
64
+ 0.0480438259999687,
65
+ 0.04794801500003132,
66
+ 0.047493651000024784,
67
+ 0.045987025999977504,
68
+ 0.045819731999984015,
69
+ 0.04604572699997789,
70
+ 0.04724731700002849,
71
+ 0.04823366200002965,
72
+ 0.0463517729999694,
73
+ 0.04717336799996019,
74
+ 0.0398930129999826,
75
+ 0.03931747000001451,
76
+ 0.03913170999999238
 
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
+ "value": 21.726905486548933
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
+ "cpu": 1.6226463119999786e-06,
86
+ "ram": 6.785219220192826e-08,
87
  "gpu": 0.0,
88
+ "total": 1.6904985042019068e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
+ "value": 591541.4876229691
93
  }
94
  }
95
  }