Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
7a2cf7f
·
verified ·
1 Parent(s): 00d75dc

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 -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": 1120.763904,
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": 4.783624173000021,
15
- "mean": 4.783624173000021,
16
  "stdev": 0.0,
17
- "p50": 4.783624173000021,
18
- "p90": 4.783624173000021,
19
- "p95": 4.783624173000021,
20
- "p99": 4.783624173000021,
21
  "values": [
22
- 4.783624173000021
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.815196103333393e-05,
29
- "ram": 2.8485723946258758e-06,
30
  "gpu": 0,
31
- "total": 7.100053342795981e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 974.368768,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,51 +43,52 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 14,
47
- "total": 0.6326576670000748,
48
- "mean": 0.0451898333571482,
49
- "stdev": 0.0014694095747897617,
50
- "p50": 0.045552695500006735,
51
- "p90": 0.04646602140000198,
52
- "p95": 0.04662170520000188,
53
- "p99": 0.046733469840004885,
54
  "values": [
55
- 0.04392768200000319,
56
- 0.04584714099999587,
57
- 0.046117507000019486,
58
- 0.044150408000007246,
59
- 0.04676141100000564,
60
- 0.045516062000018565,
61
- 0.04461808300001735,
62
- 0.04618966099999966,
63
- 0.04654647899999986,
64
- 0.045589328999994905,
65
- 0.04492131000000654,
66
- 0.04627828700000691,
67
- 0.04537134200000992,
68
- 0.04082296499998961
 
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
- "value": 44.25774231547674
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
- "cpu": 1.5627481473333472e-06,
78
- "ram": 6.530969022658746e-08,
79
  "gpu": 0.0,
80
- "total": 1.6280578375599347e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
- "value": 1228457.5853874558
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
- "max_ram": 975.1552,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
@@ -95,79 +96,81 @@
95
  },
96
  "latency": {
97
  "unit": "s",
98
- "count": 14,
99
- "total": 0.39216916400002333,
100
- "mean": 0.028012083142858808,
101
- "stdev": 0.0012477329805548319,
102
- "p50": 0.02839773550000757,
103
- "p90": 0.02895691310000359,
104
- "p95": 0.029049137000012593,
105
- "p99": 0.02915478020001899,
106
  "values": [
107
- 0.02878436899999315,
108
- 0.02918119100002059,
109
- 0.02816305599998259,
110
- 0.028191270000007762,
111
- 0.02890557500001023,
112
- 0.02890763799999263,
113
- 0.027416190999986156,
114
- 0.028978031000008286,
115
- 0.02860420100000738,
116
- 0.028033614999998235,
117
- 0.0286081589999867,
118
- 0.02803059999999391,
119
- 0.025474881000008054,
120
- 0.02489038700002766
 
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
- "value": 35.69888019038429
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
- "cpu": 9.58487826625002e-07,
130
- "ram": 4.0058415476375284e-08,
131
  "gpu": 0.0,
132
- "total": 9.98546242101377e-07
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
- "value": 1001455.8743875133
137
  }
138
  },
139
  "per_token": {
140
  "memory": null,
141
  "latency": {
142
  "unit": "s",
143
- "count": 14,
144
- "total": 0.3858202600000311,
145
- "mean": 0.02755859000000222,
146
- "stdev": 0.0011963599154293338,
147
- "p50": 0.027915303000000335,
148
- "p90": 0.02844622189999768,
149
- "p95": 0.02853839345000182,
150
- "p99": 0.028673690690006595,
151
  "values": [
152
- 0.02833662099999401,
153
- 0.02870751500000779,
154
- 0.02769150399998921,
155
- 0.027635079999981826,
156
- 0.028443640999995523,
157
- 0.028447327999998606,
158
- 0.02694408799999337,
159
- 0.028441798000017116,
160
- 0.028154440000008663,
161
- 0.027576710000005278,
162
- 0.028139102000011462,
163
- 0.0275711900000033,
164
- 0.025149773000009645,
165
- 0.024581470000015315
 
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
- "value": 36.286326695230755
171
  },
172
  "energy": null,
173
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1111.932928,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.793055717999977,
15
+ "mean": 4.793055717999977,
16
  "stdev": 0.0,
17
+ "p50": 4.793055717999977,
18
+ "p90": 4.793055717999977,
19
+ "p95": 4.793055717999977,
20
+ "p99": 4.793055717999977,
21
  "values": [
22
+ 4.793055717999977
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.747945536111091e-05,
29
+ "ram": 2.820422350407825e-06,
30
  "gpu": 0,
31
+ "total": 7.029987771151874e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 965.144576,
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": 0.6521355170000618,
48
+ "mean": 0.04347570113333745,
49
+ "stdev": 0.0026128578785041883,
50
+ "p50": 0.04529323599999202,
51
+ "p90": 0.04621182540000177,
52
+ "p95": 0.046394813600005594,
53
+ "p99": 0.04660254112001553,
54
  "values": [
55
+ 0.04152214500001605,
56
+ 0.04172803000000158,
57
+ 0.04610426700000403,
58
+ 0.04606911199999786,
59
+ 0.046654473000018015,
60
+ 0.045443105000003925,
61
+ 0.04550316699999257,
62
+ 0.046283531000000266,
63
+ 0.045612860999995064,
64
+ 0.04529323599999202,
65
+ 0.04036552900001311,
66
+ 0.04001606700001048,
67
+ 0.04038046599998779,
68
+ 0.04040197700001613,
69
+ 0.04075755100001288
70
  ]
71
  },
72
  "throughput": {
73
  "unit": "tokens/s",
74
+ "value": 46.00270836038081
75
  },
76
  "energy": {
77
  "unit": "kWh",
78
+ "cpu": 1.5649175811111478e-06,
79
+ "ram": 6.540037832161593e-08,
80
  "gpu": 0.0,
81
+ "total": 1.6303179594327639e-06
82
  },
83
  "efficiency": {
84
  "unit": "tokens/kWh",
85
+ "value": 1226754.5655301863
86
  }
87
  },
88
  "decode": {
89
  "memory": {
90
  "unit": "MB",
91
+ "max_ram": 965.931008,
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": 0.3990044639998871,
101
+ "mean": 0.026600297599992474,
102
+ "stdev": 0.0017668762134120592,
103
+ "p50": 0.027774195999995754,
104
+ "p90": 0.028392557600000146,
105
+ "p95": 0.028543955599985793,
106
+ "p99": 0.028649701519981363,
107
  "values": [
108
+ 0.02535318399998232,
109
+ 0.02815330299998209,
110
+ 0.028676137999980256,
111
+ 0.028487305999988166,
112
+ 0.02795130699999504,
113
+ 0.027774195999995754,
114
+ 0.028250435000018115,
115
+ 0.0278259829999854,
116
+ 0.028075026999999864,
117
+ 0.02670736799998963,
118
+ 0.024192951000003404,
119
+ 0.02425272199999995,
120
+ 0.024458946999999398,
121
+ 0.024399214999988317,
122
+ 0.024446381999979394
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "tokens/s",
127
+ "value": 37.59356436674915
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
+ "cpu": 9.652277230555806e-07,
132
+ "ram": 4.034024818875706e-08,
133
  "gpu": 0.0,
134
+ "total": 1.0055679712443378e-06
135
  },
136
  "efficiency": {
137
  "unit": "tokens/kWh",
138
+ "value": 994462.859395325
139
  }
140
  },
141
  "per_token": {
142
  "memory": null,
143
  "latency": {
144
  "unit": "s",
145
+ "count": 15,
146
+ "total": 0.3924877549999337,
147
+ "mean": 0.026165850333328914,
148
+ "stdev": 0.001686265602000299,
149
+ "p50": 0.02729349999998476,
150
+ "p90": 0.02786011879999819,
151
+ "p95": 0.028022674199991115,
152
+ "p99": 0.0281528820399933,
153
  "values": [
154
+ 0.024990356999978758,
155
+ 0.027652208999995764,
156
+ 0.028185433999993847,
157
+ 0.027952919999989945,
158
+ 0.02744230799999059,
159
+ 0.02729349999998476,
160
+ 0.02772091700001056,
161
+ 0.02729602499999828,
162
+ 0.02755819399999382,
163
+ 0.02633080600000426,
164
+ 0.023862264000001687,
165
+ 0.02391792800000303,
166
+ 0.02410897400000067,
167
+ 0.02406526199999348,
168
+ 0.024110656999994262
169
  ]
170
  },
171
  "throughput": {
172
  "unit": "tokens/s",
173
+ "value": 38.217752806078074
174
  },
175
  "energy": null,
176
  "efficiency": null