IlyasMoutawwakil HF staff commited on
Commit
e9d5043
·
verified ·
1 Parent(s): 4b74f81

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_model": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 969.224192,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,32 +11,32 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 1.3737103809999667
15
  ],
16
  "count": 1,
17
- "total": 1.3737103809999667,
18
- "mean": 1.3737103809999667,
19
- "p50": 1.3737103809999667,
20
- "p90": 1.3737103809999667,
21
- "p95": 1.3737103809999667,
22
- "p99": 1.3737103809999667,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
26
  "throughput": null,
27
  "energy": {
28
  "unit": "kWh",
29
- "cpu": 0.000180659771405555,
30
- "ram": 7.551613518043059e-06,
31
  "gpu": 0,
32
- "total": 0.00018821138492359805
33
  },
34
  "efficiency": null
35
  },
36
  "forward": {
37
  "memory": {
38
  "unit": "MB",
39
- "max_ram": 984.158208,
40
  "max_global_vram": null,
41
  "max_process_vram": null,
42
  "max_reserved": null,
@@ -45,46 +45,41 @@
45
  "latency": {
46
  "unit": "s",
47
  "values": [
48
- 0.07046554099997593,
49
- 0.06967103300002009,
50
- 0.07013128900001675,
51
- 0.06911799199997404,
52
- 0.06996867599997358,
53
- 0.07242655300001388,
54
- 0.06954217200001267,
55
- 0.06885684600001696,
56
- 0.07017350700004954,
57
- 0.06831644099997902,
58
- 0.06981977899999947,
59
- 0.06888208300000542,
60
- 0.07099839399995744,
61
- 0.07038044299997637,
62
- 0.06614296300000433
63
  ],
64
- "count": 15,
65
- "total": 1.0448937119999755,
66
- "mean": 0.06965958079999837,
67
- "p50": 0.06981977899999947,
68
- "p90": 0.07078525279996484,
69
- "p95": 0.07142684169997437,
70
- "p99": 0.07222661074000598,
71
- "stdev": 0.0013404563361179276,
72
- "stdev_": 1.9242957260488696
73
  },
74
  "throughput": {
75
  "unit": "samples/s",
76
- "value": 28.711054201463796
77
  },
78
  "energy": {
79
  "unit": "kWh",
80
- "cpu": 2.6993300340741285e-06,
81
- "ram": 1.1280353919947249e-07,
82
  "gpu": 0.0,
83
- "total": 2.8121335732736012e-06
84
  },
85
  "efficiency": {
86
  "unit": "samples/kWh",
87
- "value": 711203.7703357748
88
  }
89
  }
90
  }
 
2
  "load_model": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 971.595776,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 1.4179983500000048
15
  ],
16
  "count": 1,
17
+ "total": 1.4179983500000048,
18
+ "mean": 1.4179983500000048,
19
+ "p50": 1.4179983500000048,
20
+ "p90": 1.4179983500000048,
21
+ "p95": 1.4179983500000048,
22
+ "p99": 1.4179983500000048,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
26
  "throughput": null,
27
  "energy": {
28
  "unit": "kWh",
29
+ "cpu": 0.00019391114376666682,
30
+ "ram": 8.10557214233072e-06,
31
  "gpu": 0,
32
+ "total": 0.00020201671590899754
33
  },
34
  "efficiency": null
35
  },
36
  "forward": {
37
  "memory": {
38
  "unit": "MB",
39
+ "max_ram": 986.9312,
40
  "max_global_vram": null,
41
  "max_process_vram": null,
42
  "max_reserved": null,
 
45
  "latency": {
46
  "unit": "s",
47
  "values": [
48
+ 0.12521316299995533,
49
+ 0.12593554400001494,
50
+ 0.1260505160000207,
51
+ 0.1253602360000059,
52
+ 0.12848896300005208,
53
+ 0.11219248800000514,
54
+ 0.06639410100001442,
55
+ 0.06621938699998964,
56
+ 0.06903070399999933,
57
+ 0.06647253599999203
 
 
 
 
 
58
  ],
59
+ "count": 10,
60
+ "total": 1.0113576380000495,
61
+ "mean": 0.10113576380000495,
62
+ "p50": 0.11870282549998024,
63
+ "p90": 0.12629436070002384,
64
+ "p95": 0.12739166185003797,
65
+ "p99": 0.12826950277004925,
66
+ "stdev": 0.02816234998450615,
67
+ "stdev_": 27.846084239989466
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 19.77539818609549
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 2.854548008333463e-06,
76
+ "ram": 1.1928599977011648e-07,
77
  "gpu": 0.0,
78
+ "total": 2.97383400810358e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 672532.493256207
83
  }
84
  }
85
  }