IlyasMoutawwakil HF staff commited on
Commit
89edc50
1 Parent(s): e0c6953

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": 947.961856,
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": 4.2895354519999955,
15
- "mean": 4.2895354519999955,
16
  "stdev": 0.0,
17
- "p50": 4.2895354519999955,
18
- "p90": 4.2895354519999955,
19
- "p95": 4.2895354519999955,
20
- "p99": 4.2895354519999955,
21
  "values": [
22
- 4.2895354519999955
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.807304891666699e-05,
29
- "ram": 2.009207603276797e-06,
30
  "gpu": 0,
31
- "total": 5.008225651994378e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 959.315968,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,57 +43,53 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 26,
47
- "total": 1.0372253199998909,
48
- "mean": 0.039893281538457344,
49
- "stdev": 0.0010496832089052727,
50
- "p50": 0.03971945349996986,
51
- "p90": 0.04057134450002309,
52
- "p95": 0.04138601950000975,
53
- "p99": 0.043609932249978556,
54
  "values": [
55
- 0.0401064210000186,
56
- 0.039353686000026755,
57
- 0.03935212200002525,
58
- 0.03977956699998231,
59
- 0.0396460050000087,
60
- 0.040005092999990666,
61
- 0.03952298299998347,
62
- 0.03927410399995779,
63
- 0.039807800999994924,
64
- 0.04165644400001156,
65
- 0.03971510499997066,
66
- 0.04056794300004185,
67
- 0.039723801999969055,
68
- 0.03960065000001123,
69
- 0.03939229700000624,
70
- 0.04016235700004245,
71
- 0.040574746000004325,
72
- 0.03986594899998863,
73
- 0.03984975899999199,
74
- 0.03926453499997251,
75
- 0.03982545299999174,
76
- 0.044261094999967554,
77
- 0.038821089999999,
78
- 0.03894734799996513,
79
- 0.03921673499996814,
80
- 0.038932230000000345
81
  ]
82
  },
83
  "throughput": {
84
  "unit": "samples/s",
85
- "value": 25.066877464968492
86
  },
87
  "energy": {
88
  "unit": "kWh",
89
- "cpu": 1.5235127788461955e-06,
90
- "ram": 6.367142855940238e-08,
91
  "gpu": 0.0,
92
- "total": 1.587184207405598e-06
93
  },
94
  "efficiency": {
95
  "unit": "samples/kWh",
96
- "value": 630046.5915261306
97
  }
98
  }
99
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 948.0192,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.252456345999974,
15
+ "mean": 4.252456345999974,
16
  "stdev": 0.0,
17
+ "p50": 4.252456345999974,
18
+ "p90": 4.252456345999974,
19
+ "p95": 4.252456345999974,
20
+ "p99": 4.252456345999974,
21
  "values": [
22
+ 4.252456345999974
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.7899185561109586e-05,
29
+ "ram": 2.0019557399395917e-06,
30
  "gpu": 0,
31
+ "total": 4.990114130104918e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 959.553536,
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": 1.0136190610000995,
48
+ "mean": 0.046073593681822705,
49
+ "stdev": 0.0015761588904538227,
50
+ "p50": 0.04641022100000214,
51
+ "p90": 0.04778878959998565,
52
+ "p95": 0.04799056939999957,
53
+ "p99": 0.04805313774001831,
54
  "values": [
55
+ 0.04620875000000524,
56
+ 0.04554655199996205,
57
+ 0.04444184699997322,
58
+ 0.04729590099998404,
59
+ 0.04661169199999904,
60
+ 0.046045745000014904,
61
+ 0.04515598099999352,
62
+ 0.044136005999973804,
63
+ 0.048067713000023105,
64
+ 0.04784355499998583,
65
+ 0.0468127690000415,
66
+ 0.04573850100001664,
67
+ 0.046644294000032005,
68
+ 0.046199422000029244,
69
+ 0.04682458100000986,
70
+ 0.04698472000001175,
71
+ 0.046757936000005884,
72
+ 0.04525783299999375,
73
+ 0.04681027300000551,
74
+ 0.047998307000000295,
75
+ 0.04566423900001837,
76
+ 0.040572444000019914
 
 
 
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
+ "value": 21.70440636573412
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
+ "cpu": 1.506870362606793e-06,
86
+ "ram": 6.297149838027532e-08,
87
  "gpu": 0.0,
88
+ "total": 1.5698418609870683e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
+ "value": 637006.837982541
93
  }
94
  }
95
  }