Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
b43c770
•
1 Parent(s): bfd2109

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 +87 -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": 1104.044032,
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": 4.936803760999965,
15
- "mean": 4.936803760999965,
16
  "stdev": 0.0,
17
- "p50": 4.936803760999965,
18
- "p90": 4.936803760999965,
19
- "p95": 4.936803760999965,
20
- "p99": 4.936803760999965,
21
  "values": [
22
- 4.936803760999965
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.771559450361464e-05,
29
- "ram": 2.8302408442471006e-06,
30
  "gpu": 0,
31
- "total": 7.054583534786175e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 957.27616,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,50 +44,50 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 14,
47
- "total": 0.6552342240001394,
48
- "mean": 0.04680244457143853,
49
- "stdev": 0.0024023932275525823,
50
- "p50": 0.04711709800000108,
51
- "p90": 0.04977291200000877,
52
- "p95": 0.05024814835001621,
53
- "p99": 0.05052083687001982,
54
  "values": [
55
- 0.050589009000020724,
56
- 0.04848956900002577,
57
- 0.04707821499999909,
58
- 0.0490922879999971,
59
- 0.05006460800001378,
60
- 0.04715598100000307,
61
- 0.04727819000004274,
62
- 0.048784079000029124,
63
- 0.045359033000011095,
64
- 0.04376980000000685,
65
- 0.04382255900003429,
66
- 0.043357057999969584,
67
- 0.043437529000016184,
68
- 0.04695630599997003
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
- "value": 42.7328106109336
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
- "cpu": 1.75898858314551e-06,
78
- "ram": 7.351141046797237e-08,
79
  "gpu": 0.0,
80
- "total": 1.8324999936134826e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
- "value": 1091405.1879783238
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
- "max_ram": 958.193664,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
@@ -96,44 +96,44 @@
96
  "latency": {
97
  "unit": "s",
98
  "count": 14,
99
- "total": 0.40391200299995944,
100
- "mean": 0.02885085735713996,
101
- "stdev": 0.0015551682606210855,
102
- "p50": 0.028984333500005732,
103
- "p90": 0.030256682200001706,
104
- "p95": 0.030879474849996313,
105
- "p99": 0.031796157369979025,
106
  "values": [
107
- 0.029773771999998644,
108
- 0.030262477000007948,
109
- 0.03024316099998714,
110
- 0.029031742000029226,
111
- 0.029638267999985146,
112
- 0.032025327999974706,
113
- 0.02893692499998224,
114
- 0.030006608999997297,
115
- 0.02832313599998315,
116
- 0.026986844000020938,
117
- 0.026156197999966935,
118
- 0.02803332199999886,
119
- 0.027544567000006737,
120
- 0.026949654000020473
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
- "value": 34.66101501321664
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
- "cpu": 9.97930571268914e-07,
130
- "ram": 4.1706411858285725e-08,
131
  "gpu": 0.0,
132
- "total": 1.0396369831271993e-06
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
- "value": 961874.2082375981
137
  }
138
  },
139
  "per_token": {
@@ -141,33 +141,33 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
- "total": 0.3979374259998849,
145
- "mean": 0.028424101857134638,
146
- "stdev": 0.0014790520041296558,
147
- "p50": 0.02850717500001565,
148
- "p90": 0.029767586399992753,
149
- "p95": 0.030379720099998054,
150
- "p99": 0.031250692020017255,
151
  "values": [
152
- 0.029254329999957918,
153
- 0.02979348899998513,
154
- 0.029707147000010536,
155
- 0.02856500800004369,
156
- 0.029172084999970593,
157
- 0.031468435000022055,
158
- 0.02844934199998761,
159
- 0.02954054599996425,
160
- 0.027995111999985056,
161
- 0.02666716499999211,
162
- 0.025835977999975057,
163
- 0.0277031539999939,
164
- 0.027159806999975444,
165
- 0.026625828000021556
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
- "value": 35.18141065727266
171
  },
172
  "energy": null,
173
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1115.42272,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.8100010649999945,
15
+ "mean": 4.8100010649999945,
16
  "stdev": 0.0,
17
+ "p50": 4.8100010649999945,
18
+ "p90": 4.8100010649999945,
19
+ "p95": 4.8100010649999945,
20
+ "p99": 4.8100010649999945,
21
  "values": [
22
+ 4.8100010649999945
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.703964074452719e-05,
29
+ "ram": 2.80208581743409e-06,
30
  "gpu": 0,
31
+ "total": 6.984172656196128e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 968.654848,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 14,
47
+ "total": 0.631776919999993,
48
+ "mean": 0.04512692285714236,
49
+ "stdev": 0.00429957445682484,
50
+ "p50": 0.044201781499992876,
51
+ "p90": 0.04634179679998738,
52
+ "p95": 0.05145302249997598,
53
+ "p99": 0.05828253089997701,
54
  "values": [
55
+ 0.05998990799997728,
56
+ 0.04514143400001558,
57
+ 0.043509454999991704,
58
+ 0.04433396500002118,
59
+ 0.04406959799996457,
60
+ 0.04357424700003776,
61
+ 0.044933792999984234,
62
+ 0.044788369000002604,
63
+ 0.04304536199998665,
64
+ 0.04449843399999054,
65
+ 0.04685623799997529,
66
+ 0.042178121000006286,
67
+ 0.04246858700003031,
68
+ 0.04238940900000898
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
+ "value": 44.31944110905525
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
+ "cpu": 1.7043903829970797e-06,
78
+ "ram": 7.122927231080212e-08,
79
  "gpu": 0.0,
80
+ "total": 1.7756196553078821e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
+ "value": 1126367.3467577219
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
+ "max_ram": 969.572352,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
 
96
  "latency": {
97
  "unit": "s",
98
  "count": 14,
99
+ "total": 0.3805838649999487,
100
+ "mean": 0.02718456178571062,
101
+ "stdev": 0.0025376856945996213,
102
+ "p50": 0.026543072500004428,
103
+ "p90": 0.027293185399992127,
104
+ "p95": 0.030480696349991374,
105
+ "p99": 0.03505709206997835,
106
  "values": [
107
+ 0.0362011909999751,
108
+ 0.0263579790000108,
109
+ 0.026374390000000858,
110
+ 0.02704294799997342,
111
+ 0.026611456000011913,
112
+ 0.026474688999996943,
113
+ 0.027400430000000142,
114
+ 0.026644588999999996,
115
+ 0.026312002999986817,
116
+ 0.026778911000008065,
117
+ 0.02670211700001346,
118
+ 0.025965702000007695,
119
+ 0.02556879499996967,
120
+ 0.026148664999993798
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
+ "value": 36.78558469629785
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
+ "cpu": 9.467587839578086e-07,
130
+ "ram": 3.9567501642750376e-08,
131
  "gpu": 0.0,
132
+ "total": 9.863262856005586e-07
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
+ "value": 1013863.2768882518
137
  }
138
  },
139
  "per_token": {
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
+ "total": 0.37572219200006884,
145
+ "mean": 0.026837299428576347,
146
+ "stdev": 0.002524102516706253,
147
+ "p50": 0.02619519850000529,
148
+ "p90": 0.026933272500014028,
149
+ "p95": 0.03010725485000307,
150
+ "p99": 0.03466992776998153,
151
  "values": [
152
+ 0.03581059599997616,
153
+ 0.026018781000004765,
154
+ 0.026033659000006537,
155
+ 0.02669305000000577,
156
+ 0.026267690000054245,
157
+ 0.026122706999956335,
158
+ 0.027036225000017566,
159
+ 0.026274742999987666,
160
+ 0.025889509000023736,
161
+ 0.026439622999987478,
162
+ 0.026388707000023714,
163
+ 0.025643015000014202,
164
+ 0.025269793000006757,
165
+ 0.025834094000003915
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 37.26157330626197
171
  },
172
  "energy": null,
173
  "efficiency": null