Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
ed0ecd7
•
1 Parent(s): 30ebba4

Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json +36 -36
cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 523.935744,
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": 3.309362813000007,
15
- "mean": 3.309362813000007,
16
  "stdev": 0.0,
17
- "p50": 3.309362813000007,
18
- "p90": 3.309362813000007,
19
- "p95": 3.309362813000007,
20
- "p99": 3.309362813000007,
21
  "values": [
22
- 3.309362813000007
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.992783733333177e-06,
29
- "ram": 4.175808542046997e-07,
30
  "gpu": 0,
31
- "total": 1.0410364587537878e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 555.696128,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,42 +44,42 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
- "total": 1.0343554609999615,
48
- "mean": 0.08619628841666345,
49
- "stdev": 0.004960292742835191,
50
- "p50": 0.08727608000000942,
51
- "p90": 0.0892530310000268,
52
- "p95": 0.09241514689999235,
53
- "p99": 0.09547899977995598,
54
  "values": [
55
- 0.08824602700002515,
56
- 0.08761062600001424,
57
- 0.08650152399997069,
58
- 0.08899536100000205,
59
- 0.0869415340000046,
60
- 0.08928166100002954,
61
- 0.08795556799998394,
62
- 0.09624496299994689,
63
- 0.08634635100003152,
64
- 0.07884694599999875,
65
- 0.07828753100000085,
66
- 0.07909736899995323
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.60142760632696
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.0680651346154396e-06,
76
- "ram": 1.2829081762264811e-07,
77
  "gpu": 0.0,
78
- "total": 3.1963559522380877e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 312856.2697467409
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 523.354112,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.217143128999993,
15
+ "mean": 3.217143128999993,
16
  "stdev": 0.0,
17
+ "p50": 3.217143128999993,
18
+ "p90": 3.217143128999993,
19
+ "p95": 3.217143128999993,
20
+ "p99": 3.217143128999993,
21
  "values": [
22
+ 3.217143128999993
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.88098879444408e-06,
29
+ "ram": 4.1285144035003084e-07,
30
  "gpu": 0,
31
+ "total": 1.029384023479411e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 552.677376,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.0591974630000323,
48
+ "mean": 0.08826645525000269,
49
+ "stdev": 0.01769666875598684,
50
+ "p50": 0.08430964400001528,
51
+ "p90": 0.122265270799997,
52
+ "p95": 0.1256684491999991,
53
+ "p99": 0.12585890584000053,
54
  "values": [
55
+ 0.08595876100000055,
56
+ 0.084146445000016,
57
+ 0.08447284300001456,
58
+ 0.08473970099998951,
59
+ 0.1254736639999976,
60
+ 0.1259065200000009,
61
+ 0.09338973199999145,
62
+ 0.07541842800000609,
63
+ 0.0766409850000116,
64
+ 0.07431643500001428,
65
+ 0.07396746599999915,
66
+ 0.07476648299999056
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.32933227201247
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 2.9540819694444076e-06,
76
+ "ram": 1.23529841380547e-07,
77
  "gpu": 0.0,
78
+ "total": 3.0776118108249544e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 324927.2687616668
83
  }
84
  }
85
  }