IlyasMoutawwakil HF staff commited on
Commit
0d1cc04
1 Parent(s): 40bec96

Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json with huggingface_hub

Browse files
cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 988.368896,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,15 +11,15 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 1.320219662999989
15
  ],
16
  "count": 1,
17
- "total": 1.320219662999989,
18
- "mean": 1.320219662999989,
19
- "p50": 1.320219662999989,
20
- "p90": 1.320219662999989,
21
- "p95": 1.320219662999989,
22
- "p99": 1.320219662999989,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
@@ -30,7 +30,7 @@
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
- "max_ram": 902.414336,
34
  "max_global_vram": null,
35
  "max_process_vram": null,
36
  "max_reserved": null,
@@ -39,53 +39,43 @@
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
- 0.046674376999988,
43
- 0.04629105300000447,
44
- 0.04908905299998878,
45
- 0.04822053199995935,
46
- 0.04760002500000837,
47
- 0.048074410000026546,
48
- 0.047451387000023715,
49
- 0.04733164399999623,
50
- 0.04762481100004834,
51
- 0.04887401099995259,
52
- 0.046376983000016025,
53
- 0.047196352000014485,
54
- 0.04715971199999558,
55
- 0.047721571000010954,
56
- 0.04844241600000032,
57
- 0.04697265300001163,
58
- 0.04687613400000146,
59
- 0.046902041999999255,
60
- 0.047909687000014856,
61
- 0.04163711900002909,
62
- 0.04078571100001227,
63
- 0.0435484540000175
64
  ],
65
- "count": 22,
66
- "total": 1.0287601370001198,
67
- "mean": 0.046761824409096354,
68
- "p50": 0.04726399800000536,
69
- "p90": 0.04842022759999622,
70
- "p95": 0.048852431249954975,
71
- "p99": 0.04904389417998118,
72
- "stdev": 0.002068625017921856,
73
- "stdev_": 4.423747456524508
74
  },
75
  "throughput": {
76
  "unit": "samples/s",
77
- "value": 21.384965463526157
78
  },
79
  "energy": {
80
  "unit": "kWh",
81
- "cpu": 1.5602357586666486e-06,
82
- "ram": 6.52026019961935e-08,
83
  "gpu": 0.0,
84
- "total": 1.625438360662842e-06
85
  },
86
  "efficiency": {
87
  "unit": "samples/kWh",
88
- "value": 615218.6537496306
89
  }
90
  }
91
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 988.889088,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 1.308984436000003
15
  ],
16
  "count": 1,
17
+ "total": 1.308984436000003,
18
+ "mean": 1.308984436000003,
19
+ "p50": 1.308984436000003,
20
+ "p90": 1.308984436000003,
21
+ "p95": 1.308984436000003,
22
+ "p99": 1.308984436000003,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
 
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
+ "max_ram": 923.017216,
34
  "max_global_vram": null,
35
  "max_process_vram": null,
36
  "max_reserved": null,
 
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
+ 0.09257833399999527,
43
+ 0.09099177600000985,
44
+ 0.09099630500000444,
45
+ 0.08866122500000984,
46
+ 0.08798082999999224,
47
+ 0.08804419800000574,
48
+ 0.09021598499998618,
49
+ 0.0923104449999812,
50
+ 0.08883406599997556,
51
+ 0.08897427600001606,
52
+ 0.08991850099999965,
53
+ 0.08995482899999274
 
 
 
 
 
 
 
 
 
 
54
  ],
55
+ "count": 12,
56
+ "total": 1.0794607699999688,
57
+ "mean": 0.08995506416666406,
58
+ "p50": 0.0899366649999962,
59
+ "p90": 0.09217903099998352,
60
+ "p95": 0.09243099504998753,
61
+ "p99": 0.09254886620999372,
62
+ "stdev": 0.0014747696471827194,
63
+ "stdev_": 1.63945149819508
64
  },
65
  "throughput": {
66
  "unit": "samples/s",
67
+ "value": 22.233323032203103
68
  },
69
  "energy": {
70
  "unit": "kWh",
71
+ "cpu": 3.1547840722222188e-06,
72
+ "ram": 1.3184251287631758e-07,
73
  "gpu": 0.0,
74
+ "total": 3.286626585098536e-06
75
  },
76
  "efficiency": {
77
  "unit": "samples/kWh",
78
+ "value": 608526.690883576
79
  }
80
  }
81
  }