Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
355761b
•
1 Parent(s): 09f64a3

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 +90 -90
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": 1115.992064,
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": 4.826102868000021,
15
- "mean": 4.826102868000021,
16
  "stdev": 0.0,
17
- "p50": 4.826102868000021,
18
- "p90": 4.826102868000021,
19
- "p95": 4.826102868000021,
20
- "p99": 4.826102868000021,
21
  "values": [
22
- 4.826102868000021
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.76943476222211e-05,
29
- "ram": 2.8310399782495974e-06,
30
  "gpu": 0,
31
- "total": 7.052538760047069e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 970.24,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,51 +44,51 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 15,
47
- "total": 0.6247074389998488,
48
- "mean": 0.04164716259998992,
49
- "stdev": 0.0006661999822193306,
50
- "p50": 0.0417017439999654,
51
- "p90": 0.04181996560001835,
52
- "p95": 0.04243451500000219,
53
- "p99": 0.043524123799995776,
54
  "values": [
55
- 0.043796525999994174,
56
- 0.04170864699995036,
57
- 0.04177372000003743,
58
- 0.041548575000035726,
59
- 0.04185079600000563,
60
- 0.041714587999990727,
61
- 0.041532695000000786,
62
- 0.041361983999991025,
63
- 0.04170960900000864,
64
- 0.0417017439999654,
65
- 0.041697205999980724,
66
- 0.04171488899999076,
67
- 0.040934856999967906,
68
- 0.04091257599998244,
69
- 0.04074902699994709
70
  ]
71
  },
72
  "throughput": {
73
  "unit": "tokens/s",
74
- "value": 48.02247920727459
75
  },
76
  "energy": {
77
  "unit": "kWh",
78
- "cpu": 1.591961297111109e-06,
79
- "ram": 6.656919157278087e-08,
80
  "gpu": 0.0,
81
- "total": 1.6585304886838897e-06
82
  },
83
  "efficiency": {
84
  "unit": "tokens/kWh",
85
- "value": 1205886.7857093662
86
  }
87
  },
88
  "decode": {
89
  "memory": {
90
  "unit": "MB",
91
- "max_ram": 970.502144,
92
  "max_global_vram": null,
93
  "max_process_vram": null,
94
  "max_reserved": null,
@@ -97,45 +97,45 @@
97
  "latency": {
98
  "unit": "s",
99
  "count": 15,
100
- "total": 0.3893285870000227,
101
- "mean": 0.025955239133334848,
102
- "stdev": 0.0011070549483587968,
103
- "p50": 0.025689650000003894,
104
- "p90": 0.027749413199990157,
105
- "p95": 0.028456467900019787,
106
- "p99": 0.028653415980035107,
107
  "values": [
108
- 0.028350960000011582,
109
- 0.025689650000003894,
110
- 0.026847092999958022,
111
- 0.025625538999975106,
112
- 0.025655034000010346,
113
- 0.025320093000004817,
114
- 0.025747889999991003,
115
- 0.025810536999983924,
116
- 0.02569728399998894,
117
- 0.02569534100001647,
118
- 0.025260370000012244,
119
- 0.028702653000038936,
120
- 0.024834757000007812,
121
- 0.02491017599999168,
122
- 0.02518121000002793
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "tokens/s",
127
- "value": 38.527866950594934
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
- "cpu": 9.38959317819456e-07,
132
- "ram": 3.9261308901821436e-08,
133
  "gpu": 0.0,
134
- "total": 9.78220626721278e-07
135
  },
136
  "efficiency": {
137
  "unit": "tokens/kWh",
138
- "value": 1022264.2752399531
139
  }
140
  },
141
  "per_token": {
@@ -143,34 +143,34 @@
143
  "latency": {
144
  "unit": "s",
145
  "count": 15,
146
- "total": 0.383212563000086,
147
- "mean": 0.025547504200005733,
148
- "stdev": 0.0010804639560491268,
149
- "p50": 0.025307619000045634,
150
- "p90": 0.02731572299998106,
151
- "p95": 0.028013789800002086,
152
- "p99": 0.028137121960012338,
153
  "values": [
154
- 0.027947718999996596,
155
- 0.025311486000020977,
156
- 0.026367728999957762,
157
- 0.025218772000016543,
158
- 0.025283112000010988,
159
- 0.02494535599998926,
160
- 0.025358556000014687,
161
- 0.02543227400002479,
162
- 0.025316846999999143,
163
- 0.025307619000045634,
164
- 0.024865405000014107,
165
- 0.0281679550000149,
166
- 0.024488274000020738,
167
- 0.02440772899996091,
168
- 0.02479372999999896
169
  ]
170
  },
171
  "throughput": {
172
  "unit": "tokens/s",
173
- "value": 39.14276683042
174
  },
175
  "energy": null,
176
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1105.26464,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.645852631999986,
15
+ "mean": 4.645852631999986,
16
  "stdev": 0.0,
17
+ "p50": 4.645852631999986,
18
+ "p90": 4.645852631999986,
19
+ "p95": 4.645852631999986,
20
+ "p99": 4.645852631999986,
21
  "values": [
22
+ 4.645852631999986
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.617358700555593e-05,
29
+ "ram": 2.767425757216743e-06,
30
  "gpu": 0,
31
+ "total": 6.894101276277268e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 959.77472,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 15,
47
+ "total": 0.6249881040000389,
48
+ "mean": 0.041665873600002595,
49
+ "stdev": 0.0010758572912257383,
50
+ "p50": 0.041541249999994534,
51
+ "p90": 0.042055888799984585,
52
+ "p95": 0.04303735949998781,
53
+ "p99": 0.04476753829999552,
54
  "values": [
55
+ 0.04194250599999805,
56
+ 0.04197400499998594,
57
+ 0.04181098199998701,
58
+ 0.041541249999994534,
59
+ 0.040924162000010256,
60
+ 0.04147199100000876,
61
+ 0.04092121700000462,
62
+ 0.04520008299999745,
63
+ 0.04185042500000691,
64
+ 0.04196413600001847,
65
+ 0.04124792400000388,
66
+ 0.042110477999983686,
67
+ 0.0404621039999995,
68
+ 0.040881443000017725,
69
+ 0.04068539800002213
70
  ]
71
  },
72
  "throughput": {
73
  "unit": "tokens/s",
74
+ "value": 48.00091363018668
75
  },
76
  "energy": {
77
  "unit": "kWh",
78
+ "cpu": 1.5827714124444458e-06,
79
+ "ram": 6.618293850284879e-08,
80
  "gpu": 0.0,
81
+ "total": 1.6489543509472946e-06
82
  },
83
  "efficiency": {
84
  "unit": "tokens/kWh",
85
+ "value": 1212889.852803406
86
  }
87
  },
88
  "decode": {
89
  "memory": {
90
  "unit": "MB",
91
+ "max_ram": 959.905792,
92
  "max_global_vram": null,
93
  "max_process_vram": null,
94
  "max_reserved": null,
 
97
  "latency": {
98
  "unit": "s",
99
  "count": 15,
100
+ "total": 0.3809219299999711,
101
+ "mean": 0.025394795333331405,
102
+ "stdev": 0.0005679228940908295,
103
+ "p50": 0.025256861000002573,
104
+ "p90": 0.02628667239999345,
105
+ "p95": 0.026475408099989294,
106
+ "p99": 0.02653491761999305,
107
  "values": [
108
+ 0.0260513890000027,
109
+ 0.02579371000001629,
110
+ 0.0253640710000127,
111
+ 0.026443527999987282,
112
+ 0.025078379999996514,
113
+ 0.02498344299999644,
114
+ 0.026549794999993992,
115
+ 0.025308357000000115,
116
+ 0.025256861000002573,
117
+ 0.025656945999998015,
118
+ 0.02515256800000998,
119
+ 0.0246250170000053,
120
+ 0.025001635999984728,
121
+ 0.02484186999998883,
122
+ 0.02481435899997564
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "tokens/s",
127
+ "value": 39.37814764301215
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
+ "cpu": 9.433701129027967e-07,
132
+ "ram": 3.945158877667318e-08,
133
  "gpu": 0.0,
134
+ "total": 9.828217016794703e-07
135
  },
136
  "efficiency": {
137
  "unit": "tokens/kWh",
138
+ "value": 1017478.5500678048
139
  }
140
  },
141
  "per_token": {
 
143
  "latency": {
144
  "unit": "s",
145
  "count": 15,
146
+ "total": 0.3757448340000167,
147
+ "mean": 0.025049655600001112,
148
+ "stdev": 0.000540970085283527,
149
+ "p50": 0.024875050999980886,
150
+ "p90": 0.02592688500000122,
151
+ "p95": 0.026084945000002337,
152
+ "p99": 0.02609682820000671,
153
  "values": [
154
+ 0.025699344000003066,
155
+ 0.02545050200001242,
156
+ 0.02502907800001708,
157
+ 0.026099799000007806,
158
+ 0.02476945499998351,
159
+ 0.024621680999985074,
160
+ 0.02607857899999999,
161
+ 0.024962404000007155,
162
+ 0.024875050999980886,
163
+ 0.02529026400000589,
164
+ 0.024813558000005287,
165
+ 0.02429861000001665,
166
+ 0.024703031000001374,
167
+ 0.024543144999995548,
168
+ 0.024510332999994944
169
  ]
170
  },
171
  "throughput": {
172
  "unit": "tokens/s",
173
+ "value": 39.92070853061771
174
  },
175
  "energy": null,
176
  "efficiency": null