IlyasMoutawwakil HF staff commited on
Commit
cd5565b
1 Parent(s): 52c40f9

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": 939.245568,
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": 4.224005944999988,
15
- "mean": 4.224005944999988,
16
  "stdev": 0.0,
17
- "p50": 4.224005944999988,
18
- "p90": 4.224005944999988,
19
- "p95": 4.224005944999988,
20
- "p99": 4.224005944999988,
21
  "values": [
22
- 4.224005944999988
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.72755683792962e-05,
29
- "ram": 1.975880779938848e-06,
30
  "gpu": 0,
31
- "total": 4.925144915923505e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 950.386688,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,53 +43,52 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 22,
47
- "total": 1.0137693029998331,
48
- "mean": 0.04608042286362878,
49
- "stdev": 0.0015049275401922643,
50
- "p50": 0.046150883499990414,
51
- "p90": 0.04792448769997009,
52
- "p95": 0.04813476934996856,
53
- "p99": 0.04857835533998184,
54
  "values": [
55
- 0.046443167000006724,
56
- 0.04652617200002851,
57
- 0.045612788000028104,
58
- 0.046590542999979334,
59
- 0.04625283899997612,
60
- 0.04594589399999904,
61
- 0.045835506999992504,
62
- 0.04496213799995985,
63
- 0.048694410999985394,
64
- 0.04630186200000708,
65
- 0.04616302199997335,
66
- 0.04722820899996805,
67
- 0.04800185199997031,
68
- 0.04604323699999213,
69
- 0.04814176499996847,
70
- 0.04634671500002696,
71
- 0.045769382000003134,
72
- 0.04515323499998658,
73
- 0.046138745000007475,
74
- 0.04532991700000366,
75
- 0.04566088100000343,
76
- 0.04062702199996693
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
- "value": 21.701189742972144
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
- "cpu": 1.5649301211039226e-06,
86
- "ram": 6.540119545049949e-08,
87
  "gpu": 0.0,
88
- "total": 1.630331316554422e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
- "value": 613372.2574337969
93
  }
94
  }
95
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 940.089344,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.446885149000025,
15
+ "mean": 4.446885149000025,
16
  "stdev": 0.0,
17
+ "p50": 4.446885149000025,
18
+ "p90": 4.446885149000025,
19
+ "p95": 4.446885149000025,
20
+ "p99": 4.446885149000025,
21
  "values": [
22
+ 4.446885149000025
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.9223098489973284e-05,
29
+ "ram": 2.057292123118941e-06,
30
  "gpu": 0,
31
+ "total": 5.128039061309222e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 951.230464,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 21,
47
+ "total": 1.0339028170000688,
48
+ "mean": 0.049233467476193754,
49
+ "stdev": 0.00837617829950094,
50
+ "p50": 0.047127711000030104,
51
+ "p90": 0.0567236370000046,
52
+ "p95": 0.06123092100000349,
53
+ "p99": 0.0770718034000197,
54
  "values": [
55
+ 0.048603931000002376,
56
+ 0.049220524000020305,
57
+ 0.046571357999994234,
58
+ 0.047471758999961366,
59
+ 0.04753510699998742,
60
+ 0.047127711000030104,
61
+ 0.08103202400002374,
62
+ 0.06123092100000349,
63
+ 0.0567236370000046,
64
+ 0.04868379800001321,
65
+ 0.047035831000016515,
66
+ 0.050247038999998495,
67
+ 0.04913644300000897,
68
+ 0.04648417599997856,
69
+ 0.04562712599999941,
70
+ 0.04537307499998633,
71
+ 0.045522871999992276,
72
+ 0.04495683300001474,
73
+ 0.04264123499996231,
74
+ 0.04022811800001591,
75
+ 0.04244929900005445
 
76
  ]
77
  },
78
  "throughput": {
79
  "unit": "samples/s",
80
+ "value": 20.311386771275817
81
  },
82
  "energy": {
83
  "unit": "kWh",
84
+ "cpu": 1.6538003528559653e-06,
85
+ "ram": 6.911516906825455e-08,
86
  "gpu": 0.0,
87
+ "total": 1.7229155219242198e-06
88
  },
89
  "efficiency": {
90
  "unit": "samples/kWh",
91
+ "value": 580411.5101842955
92
  }
93
  }
94
  }