IlyasMoutawwakil HF staff commited on
Commit
b03ec58
·
verified ·
1 Parent(s): c976b2a

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
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 936.771584,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,59 +10,61 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 28,
14
- "total": 1.0059070249998285,
15
- "mean": 0.03592525089285102,
16
- "stdev": 0.00196947294479433,
17
- "p50": 0.03658272849997957,
18
- "p90": 0.037491591399981414,
19
- "p95": 0.037970250849986086,
20
- "p99": 0.03827234601999862,
21
  "values": [
22
- 0.03729326000001265,
23
- 0.03649752399996942,
24
- 0.03624167599997463,
25
- 0.03545219199997973,
26
- 0.036897701000043526,
27
- 0.03634514999998828,
28
- 0.036348164999992605,
29
- 0.03833632900000339,
30
- 0.038099354999985735,
31
- 0.03773048599998674,
32
- 0.03722083399998155,
33
- 0.036848959999986164,
34
- 0.03651132999999618,
35
- 0.036654126999962955,
36
- 0.03649788500001705,
37
- 0.03691661700003124,
38
- 0.03706347999997206,
39
- 0.03670915899999727,
40
- 0.037389207999979135,
41
- 0.03733694199996762,
42
- 0.03695067000001018,
43
- 0.03601361099998712,
44
- 0.031191546999991715,
45
- 0.0319279310000411,
46
- 0.032116223999992144,
47
- 0.032740670000009686,
48
- 0.03434033600001385,
49
- 0.032235655999954815
 
 
50
  ]
51
  },
52
  "throughput": {
53
  "unit": "samples/s",
54
- "value": 27.835574565159014
55
  },
56
  "energy": {
57
  "unit": "kWh",
58
- "cpu": 1.2275965677367317e-06,
59
- "ram": 5.130300258727516e-08,
60
  "gpu": 0.0,
61
- "total": 1.278899570324007e-06
62
  },
63
  "efficiency": {
64
  "unit": "samples/kWh",
65
- "value": 781922.2268928058
66
  }
67
  }
68
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 937.426944,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 30,
14
+ "total": 1.024279958999898,
15
+ "mean": 0.03414266529999661,
16
+ "stdev": 0.002003813720873649,
17
+ "p50": 0.034858600000006845,
18
+ "p90": 0.03565418159996057,
19
+ "p95": 0.035895198800008646,
20
+ "p99": 0.03596436321000283,
21
  "values": [
22
+ 0.035967481000000134,
23
+ 0.03514002799994387,
24
+ 0.035576557000013054,
25
+ 0.03432157199995345,
26
+ 0.03563575799995533,
27
+ 0.03488703400000759,
28
+ 0.03473305500000379,
29
+ 0.03504126299998234,
30
+ 0.03468897199996945,
31
+ 0.034071383000025435,
32
+ 0.03581999400000768,
33
+ 0.03483442499998546,
34
+ 0.03480534999999918,
35
+ 0.03475111799997421,
36
+ 0.03510695500000338,
37
+ 0.03486445100003266,
38
+ 0.03482678099999248,
39
+ 0.035538115000008474,
40
+ 0.035070797999992465,
41
+ 0.03485274899998103,
42
+ 0.035258930999987115,
43
+ 0.0355690829999844,
44
+ 0.03595673000000943,
45
+ 0.03492708800001765,
46
+ 0.03258657999998604,
47
+ 0.030260984000051394,
48
+ 0.029760967000015626,
49
+ 0.029760896000027515,
50
+ 0.029487383000002865,
51
+ 0.030177477999984603
52
  ]
53
  },
54
  "throughput": {
55
  "unit": "samples/s",
56
+ "value": 29.288867497995223
57
  },
58
  "energy": {
59
  "unit": "kWh",
60
+ "cpu": 1.1727454226001415e-06,
61
+ "ram": 4.900842445615982e-08,
62
  "gpu": 0.0,
63
+ "total": 1.2217538470563013e-06
64
  },
65
  "efficiency": {
66
  "unit": "samples/kWh",
67
+ "value": 818495.47878192
68
  }
69
  }
70
  }