Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
61a890a
•
1 Parent(s): db25ece

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json +75 -44
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -1,8 +1,41 @@
1
  {
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 942.022656,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,61 +43,59 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 30,
14
- "total": 1.0189400310000565,
15
- "mean": 0.03396466770000188,
16
- "stdev": 0.0022829784564926954,
17
- "p50": 0.035318214000000125,
18
- "p90": 0.036409375899984296,
19
- "p95": 0.03669708099999695,
20
- "p99": 0.03692161705000501,
21
  "values": [
22
- 0.032635982999977386,
23
- 0.03255742599998257,
24
- 0.03200291000001698,
25
- 0.031087734999971417,
26
- 0.03132670700000517,
27
- 0.031630808999977944,
28
- 0.031245011999999406,
29
- 0.031159702000024936,
30
- 0.0347837510000204,
31
- 0.0365858380000077,
32
- 0.036070476000020335,
33
- 0.035937816000000566,
34
- 0.03678809799998817,
35
- 0.03576970900002152,
36
- 0.035820725999997194,
37
- 0.03536448599999176,
38
- 0.03538964400001987,
39
- 0.03546905300004255,
40
- 0.03577218399999538,
41
- 0.0363897689999817,
42
- 0.03697615300001189,
43
- 0.035730845999978555,
44
- 0.03532907999999679,
45
- 0.03530734800000346,
46
- 0.03576500999997734,
47
- 0.03394654300001321,
48
- 0.030538261000003786,
49
- 0.030003262000036557,
50
- 0.030647285999975793,
51
- 0.030908408000016152
52
  ]
53
  },
54
  "throughput": {
55
  "unit": "samples/s",
56
- "value": 29.442360774221402
57
  },
58
  "energy": {
59
  "unit": "kWh",
60
- "cpu": 1.2507674594720205e-06,
61
- "ram": 5.2271738175528886e-08,
62
  "gpu": 0.0,
63
- "total": 1.3030391976475493e-06
64
  },
65
  "efficiency": {
66
  "unit": "samples/kWh",
67
- "value": 767436.621864758
68
  }
69
  }
70
  }
 
1
  {
2
+ "load": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 937.357312,
6
+ "max_global_vram": null,
7
+ "max_process_vram": null,
8
+ "max_reserved": null,
9
+ "max_allocated": null
10
+ },
11
+ "latency": {
12
+ "unit": "s",
13
+ "count": 1,
14
+ "total": 4.372641277000014,
15
+ "mean": 4.372641277000014,
16
+ "stdev": 0.0,
17
+ "p50": 4.372641277000014,
18
+ "p90": 4.372641277000014,
19
+ "p95": 4.372641277000014,
20
+ "p99": 4.372641277000014,
21
+ "values": [
22
+ 4.372641277000014
23
+ ]
24
+ },
25
+ "throughput": null,
26
+ "energy": {
27
+ "unit": "kWh",
28
+ "cpu": 4.8602581024169925e-05,
29
+ "ram": 2.0313583826134617e-06,
30
+ "gpu": 0,
31
+ "total": 5.063393940678339e-05
32
+ },
33
+ "efficiency": null
34
+ },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 945.221632,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 28,
47
+ "total": 1.0160386949999634,
48
+ "mean": 0.03628709624999869,
49
+ "stdev": 0.0009700105965795857,
50
+ "p50": 0.036414062500000455,
51
+ "p90": 0.03739375010002277,
52
+ "p95": 0.03747146205001854,
53
+ "p99": 0.03821609764999266,
54
  "values": [
55
+ 0.03519509299997026,
56
+ 0.035315398000022924,
57
+ 0.037474779000035596,
58
+ 0.034498176000056446,
59
+ 0.03849028399997678,
60
+ 0.03746530199998688,
61
+ 0.03643000900001425,
62
+ 0.03690346800004818,
63
+ 0.036830038999994485,
64
+ 0.035552343000006204,
65
+ 0.03562828500002979,
66
+ 0.03653808299998218,
67
+ 0.03677218799998627,
68
+ 0.03623453799997378,
69
+ 0.03537845299996434,
70
+ 0.03636509399996157,
71
+ 0.034533787999976084,
72
+ 0.036571899999955804,
73
+ 0.03490995399999974,
74
+ 0.036774851000018316,
75
+ 0.03639811599998666,
76
+ 0.03707947300000569,
77
+ 0.036878165000018726,
78
+ 0.034809875999997075,
79
+ 0.036383827999998175,
80
+ 0.037363085000038154,
81
+ 0.03721849299995483,
82
+ 0.036045634000004156
 
 
83
  ]
84
  },
85
  "throughput": {
86
  "unit": "samples/s",
87
+ "value": 27.558005554110327
88
  },
89
  "energy": {
90
  "unit": "kWh",
91
+ "cpu": 1.244693539208836e-06,
92
+ "ram": 5.2016812709645416e-08,
93
  "gpu": 0.0,
94
+ "total": 1.2967103519184814e-06
95
  },
96
  "efficiency": {
97
  "unit": "samples/kWh",
98
+ "value": 771182.2447630662
99
  }
100
  }
101
  }