IlyasMoutawwakil HF staff commited on
Commit
8841aa6
·
verified ·
1 Parent(s): 65da10e

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": 945.741824,
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": 4.368053263999968,
15
- "mean": 4.368053263999968,
16
  "stdev": 0.0,
17
- "p50": 4.368053263999968,
18
- "p90": 4.368053263999968,
19
- "p95": 4.368053263999968,
20
- "p99": 4.368053263999968,
21
  "values": [
22
- 4.368053263999968
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.8490016127776264e-05,
29
- "ram": 2.0266561090007826e-06,
30
  "gpu": 0,
31
- "total": 5.051667223677705e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 953.99936,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,60 +43,62 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 29,
47
- "total": 1.0104549379999526,
48
- "mean": 0.034843273724136294,
49
- "stdev": 0.0027692497253483826,
50
- "p50": 0.03537619200000108,
51
- "p90": 0.0385859838000215,
52
- "p95": 0.038893694400007915,
53
- "p99": 0.039142770720009136,
54
  "values": [
55
- 0.03490880399999696,
56
- 0.03503824699998859,
57
- 0.034274800999980926,
58
- 0.03347475900000063,
59
- 0.03767345500000374,
60
- 0.03537619200000108,
61
- 0.03594508999998425,
62
- 0.035092658999985815,
63
- 0.035068393000017295,
64
- 0.03488503800002718,
65
- 0.035897470999998404,
66
- 0.035722572999986824,
67
- 0.03550010399999337,
68
- 0.03645161200000757,
69
- 0.03767874900000834,
70
- 0.038536080000028505,
71
- 0.039211609000005865,
72
- 0.03896575800001756,
73
- 0.038785598999993454,
74
- 0.03552674399998068,
75
- 0.035883114999990084,
76
- 0.03644155399996407,
77
- 0.03168871200000467,
78
- 0.030461043999991944,
79
- 0.03051542700001164,
80
- 0.03047240600000123,
81
- 0.0301855870000054,
82
- 0.0304343939999967,
83
- 0.030358961999979783
 
 
84
  ]
85
  },
86
  "throughput": {
87
  "unit": "samples/s",
88
- "value": 28.699943866275966
89
  },
90
  "energy": {
91
  "unit": "kWh",
92
- "cpu": 1.1853141552188751e-06,
93
- "ram": 4.9536615731653026e-08,
94
  "gpu": 0.0,
95
- "total": 1.234850770950528e-06
96
  },
97
  "efficiency": {
98
  "unit": "samples/kWh",
99
- "value": 809814.451693016
100
  }
101
  }
102
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 947.687424,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.470951016000015,
15
+ "mean": 4.470951016000015,
16
  "stdev": 0.0,
17
+ "p50": 4.470951016000015,
18
+ "p90": 4.470951016000015,
19
+ "p95": 4.470951016000015,
20
+ "p99": 4.470951016000015,
21
  "values": [
22
+ 4.470951016000015
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.7995441977779296e-05,
29
+ "ram": 2.0059753672926288e-06,
30
  "gpu": 0,
31
+ "total": 5.0001417345071924e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 955.027456,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 31,
47
+ "total": 1.0239224330001662,
48
+ "mean": 0.033029755903231164,
49
+ "stdev": 0.002055639512860797,
50
+ "p50": 0.031649369000035676,
51
+ "p90": 0.03572419000005311,
52
+ "p95": 0.03626321199999438,
53
+ "p99": 0.036523793099985366,
54
  "values": [
55
+ 0.0353970570000115,
56
+ 0.035619694999979856,
57
+ 0.035141757000019425,
58
+ 0.03521285199997237,
59
+ 0.03572419000005311,
60
+ 0.03619043600002669,
61
+ 0.03633598799996207,
62
+ 0.03660428099999535,
63
+ 0.035169115999963196,
64
+ 0.03550350000000435,
65
+ 0.03492974400001003,
66
+ 0.03106870900001013,
67
+ 0.03174040000004652,
68
+ 0.03162249800004702,
69
+ 0.03113258999997015,
70
+ 0.031155482000031043,
71
+ 0.03137297000000672,
72
+ 0.031254218000015044,
73
+ 0.031403137000040715,
74
+ 0.031084738999993533,
75
+ 0.031110937999983435,
76
+ 0.03137702800000852,
77
+ 0.031649369000035676,
78
+ 0.03169308999997611,
79
+ 0.03121753800002125,
80
+ 0.03143927399997892,
81
+ 0.03156523100000186,
82
+ 0.031012563999979648,
83
+ 0.031241253000018787,
84
+ 0.03371075600000495,
85
+ 0.03424203299999817
86
  ]
87
  },
88
  "throughput": {
89
  "unit": "samples/s",
90
+ "value": 30.275730857041367
91
  },
92
  "energy": {
93
  "unit": "kWh",
94
+ "cpu": 1.1960842691919276e-06,
95
+ "ram": 4.9986699298903736e-08,
96
  "gpu": 0.0,
97
+ "total": 1.2460709684908312e-06
98
  },
99
  "efficiency": {
100
  "unit": "samples/kWh",
101
+ "value": 802522.5089796787
102
  }
103
  }
104
  }