Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
aa99ab7
•
1 Parent(s): d66f077

Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json +93 -87
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1105.63328,
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": 4.990290260999984,
15
- "mean": 4.990290260999984,
16
  "stdev": 0.0,
17
- "p50": 4.990290260999984,
18
- "p90": 4.990290260999984,
19
- "p95": 4.990290260999984,
20
- "p99": 4.990290260999984,
21
  "values": [
22
- 4.990290260999984
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.890028106111177e-05,
29
- "ram": 2.8814918388320444e-06,
30
  "gpu": 0,
31
- "total": 7.178177289994382e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 959.225856,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,50 +43,52 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 13,
47
- "total": 0.6649520860000564,
48
- "mean": 0.0511501604615428,
49
- "stdev": 0.0016103335127759123,
50
- "p50": 0.05076379700000189,
51
- "p90": 0.05341761680001582,
52
- "p95": 0.05347942040000362,
53
- "p99": 0.053492616079988696,
54
  "values": [
55
- 0.05000851400001238,
56
- 0.0514705079999942,
57
- 0.05346842400001606,
58
- 0.052812606999992795,
59
- 0.05321438800001488,
60
- 0.05349591499998496,
61
- 0.05076379700000189,
62
- 0.05040355300002375,
63
- 0.050748437999999396,
64
- 0.049935158000010915,
65
- 0.05085570800000028,
66
- 0.04981857900000364,
67
- 0.047956497000001264
 
 
68
  ]
69
  },
70
  "throughput": {
71
  "unit": "tokens/s",
72
- "value": 39.10056160046063
73
  },
74
  "energy": {
75
  "unit": "kWh",
76
- "cpu": 1.7599397125604016e-06,
77
- "ram": 7.359248767093995e-08,
78
  "gpu": 0.0,
79
- "total": 1.8335322002313417e-06
80
  },
81
  "efficiency": {
82
  "unit": "tokens/kWh",
83
- "value": 1090790.7697217723
84
  }
85
  },
86
  "decode": {
87
  "memory": {
88
  "unit": "MB",
89
- "max_ram": 959.881216,
90
  "max_global_vram": null,
91
  "max_process_vram": null,
92
  "max_reserved": null,
@@ -94,77 +96,81 @@
94
  },
95
  "latency": {
96
  "unit": "s",
97
- "count": 13,
98
- "total": 0.4052096989999825,
99
- "mean": 0.0311699768461525,
100
- "stdev": 0.0015252333564518264,
101
- "p50": 0.031267432000021245,
102
- "p90": 0.03247372040001437,
103
- "p95": 0.03273821480000834,
104
- "p99": 0.032896637359997385,
105
  "values": [
106
- 0.031195277999984228,
107
- 0.03163886699999807,
108
- 0.03293624299999465,
109
- 0.03260619600001746,
110
- 0.03194381800000201,
111
- 0.03116059300000984,
112
- 0.031267432000021245,
113
- 0.03140097299998956,
114
- 0.031919451999982584,
115
- 0.031229371999984323,
116
- 0.030819456000017453,
117
- 0.03075045599999271,
118
- 0.026341562999988355
 
 
119
  ]
120
  },
121
  "throughput": {
122
  "unit": "tokens/s",
123
- "value": 32.08215408486696
124
  },
125
  "energy": {
126
  "unit": "kWh",
127
- "cpu": 9.80510831143236e-07,
128
- "ram": 4.100160616689863e-08,
129
  "gpu": 0.0,
130
- "total": 1.0215124373101345e-06
131
  },
132
  "efficiency": {
133
  "unit": "tokens/kWh",
134
- "value": 978940.6016760976
135
  }
136
  },
137
  "per_token": {
138
  "memory": null,
139
  "latency": {
140
  "unit": "s",
141
- "count": 13,
142
- "total": 0.39816043999999806,
143
- "mean": 0.030627726153846006,
144
- "stdev": 0.001479154196606281,
145
- "p50": 0.03071469900001489,
146
- "p90": 0.03189866320001329,
147
- "p95": 0.032166269200007494,
148
- "p99": 0.032332775439991794,
149
  "values": [
150
- 0.0306416029999923,
151
- 0.031077217000017754,
152
- 0.03237440199998787,
153
- 0.032027514000020574,
154
- 0.03138304999998809,
155
- 0.030621105000022908,
156
- 0.03071469900001489,
157
- 0.030849230999990596,
158
- 0.03138325999998415,
159
- 0.030689461999998002,
160
- 0.03022756900000445,
161
- 0.030200377999989314,
162
- 0.02597094999998717
 
 
163
  ]
164
  },
165
  "throughput": {
166
  "unit": "tokens/s",
167
- "value": 32.6501547968956
168
  },
169
  "energy": null,
170
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1115.881472,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.816558217000022,
15
+ "mean": 4.816558217000022,
16
  "stdev": 0.0,
17
+ "p50": 4.816558217000022,
18
+ "p90": 4.816558217000022,
19
+ "p95": 4.816558217000022,
20
+ "p99": 4.816558217000022,
21
  "values": [
22
+ 4.816558217000022
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.751605536666669e-05,
29
+ "ram": 2.823601067370677e-06,
30
  "gpu": 0,
31
+ "total": 7.033965643403737e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 969.60512,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 15,
47
+ "total": 0.62706866700006,
48
+ "mean": 0.041804577800004,
49
+ "stdev": 0.0018672870149065333,
50
+ "p50": 0.04131955400001175,
51
+ "p90": 0.043925792199991064,
52
+ "p95": 0.04504702159998714,
53
+ "p99": 0.046744203520004246,
54
  "values": [
55
+ 0.043607755000010684,
56
+ 0.047168499000008524,
57
+ 0.04126036299999214,
58
+ 0.040671080999999276,
59
+ 0.04187938200001895,
60
+ 0.04230000900000164,
61
+ 0.04131955400001175,
62
+ 0.04095524199999545,
63
+ 0.041893297999990864,
64
+ 0.04134349900002121,
65
+ 0.040816793000004736,
66
+ 0.044137816999977986,
67
+ 0.03978123600001027,
68
+ 0.03993041600000424,
69
+ 0.040003723000012315
70
  ]
71
  },
72
  "throughput": {
73
  "unit": "tokens/s",
74
+ "value": 47.84165049024388
75
  },
76
  "energy": {
77
  "unit": "kWh",
78
+ "cpu": 1.5583160428888683e-06,
79
+ "ram": 6.516165309434823e-08,
80
  "gpu": 0.0,
81
+ "total": 1.6234776959832164e-06
82
  },
83
  "efficiency": {
84
  "unit": "tokens/kWh",
85
+ "value": 1231923.2995614102
86
  }
87
  },
88
  "decode": {
89
  "memory": {
90
  "unit": "MB",
91
+ "max_ram": 970.26048,
92
  "max_global_vram": null,
93
  "max_process_vram": null,
94
  "max_reserved": null,
 
96
  },
97
  "latency": {
98
  "unit": "s",
99
+ "count": 15,
100
+ "total": 0.382433892000023,
101
+ "mean": 0.02549559280000153,
102
+ "stdev": 0.0006915158498669752,
103
+ "p50": 0.025427973000006432,
104
+ "p90": 0.025796574399993232,
105
+ "p95": 0.02638101779998294,
106
+ "p99": 0.027424648359992147,
107
  "values": [
108
+ 0.02768555599999445,
109
+ 0.02539945899999907,
110
+ 0.025672520999989956,
111
+ 0.02529400200000964,
112
+ 0.025677199000000428,
113
+ 0.025758541000016066,
114
+ 0.02513978400000383,
115
+ 0.0254758830000128,
116
+ 0.025427973000006432,
117
+ 0.02582192999997801,
118
+ 0.02506472400000348,
119
+ 0.02575604700001577,
120
+ 0.024820336999994197,
121
+ 0.024573394000015014,
122
+ 0.024866541999983838
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "tokens/s",
127
+ "value": 39.22246514699356
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
+ "cpu": 9.581821730833548e-07,
132
+ "ram": 4.006802150795202e-08,
133
  "gpu": 0.0,
134
+ "total": 9.98250194591307e-07
135
  },
136
  "efficiency": {
137
  "unit": "tokens/kWh",
138
+ "value": 1001752.8725946399
139
  }
140
  },
141
  "per_token": {
142
  "memory": null,
143
  "latency": {
144
  "unit": "s",
145
+ "count": 15,
146
+ "total": 0.37746382400004563,
147
+ "mean": 0.025164254933336374,
148
+ "stdev": 0.0006814558728387349,
149
+ "p50": 0.02509231500002329,
150
+ "p90": 0.025466727599996374,
151
+ "p95": 0.0260363048999892,
152
+ "p99": 0.027060938580004287,
153
  "values": [
154
+ 0.02731709700000806,
155
+ 0.025070314000004146,
156
+ 0.025349465999994436,
157
+ 0.024967972000013106,
158
+ 0.025337734000004275,
159
+ 0.025426069000019424,
160
+ 0.024806259999991198,
161
+ 0.025140225000001237,
162
+ 0.02509231500002329,
163
+ 0.025487393999981123,
164
+ 0.02473415500000442,
165
+ 0.025435728000019253,
166
+ 0.024488896999997678,
167
+ 0.02425518800001214,
168
+ 0.024555009999971844
169
  ]
170
  },
171
  "throughput": {
172
  "unit": "tokens/s",
173
+ "value": 39.7389075356747
174
  },
175
  "energy": null,
176
  "efficiency": null