IlyasMoutawwakil HF staff commited on
Commit
565eb7a
1 Parent(s): 1f08574

Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
- "optimum_benchmark_commit": "33e831737ff6c1ec1dbc9b676a3d556b900bd25a",
84
  "transformers_version": "4.43.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1168.326656,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.8878883700000415,
112
- "mean": 4.8878883700000415,
113
  "stdev": 0.0,
114
- "p50": 4.8878883700000415,
115
- "p90": 4.8878883700000415,
116
- "p95": 4.8878883700000415,
117
- "p99": 4.8878883700000415,
118
  "values": [
119
- 4.8878883700000415
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.980553070704142e-05,
126
- "ram": 2.9177120835765892e-06,
127
  "gpu": 0,
128
- "total": 7.272324279061802e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1196.306432,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -141,37 +141,37 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
- "total": 1.033653419000018,
145
- "mean": 0.1476647741428597,
146
- "stdev": 0.005149357694756082,
147
- "p50": 0.15001325899999074,
148
- "p90": 0.15172682400000212,
149
- "p95": 0.1526392200000089,
150
- "p99": 0.1533691368000143,
151
  "values": [
152
- 0.15002866800000447,
153
- 0.14953796399998964,
154
- 0.15001325899999074,
155
- 0.1505102959999931,
156
- 0.15355161600001566,
157
- 0.13766833599999018,
158
- 0.14234328000003416
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.772095821800671
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.414367218812307e-06,
168
- "ram": 2.2628084896140875e-07,
169
  "gpu": 0.0,
170
- "total": 5.640648067773715e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 177284.59354045216
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "6924c8d60aa62ba0684c7b2cc2780f5170083764",
84
  "transformers_version": "4.43.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1168.515072,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.828009559999998,
112
+ "mean": 4.828009559999998,
113
  "stdev": 0.0,
114
+ "p50": 4.828009559999998,
115
+ "p90": 4.828009559999998,
116
+ "p95": 4.828009559999998,
117
+ "p99": 4.828009559999998,
118
  "values": [
119
+ 4.828009559999998
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.849706172943116e-05,
126
+ "ram": 2.8629896043207734e-06,
127
  "gpu": 0,
128
+ "total": 7.136005133375193e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1196.429312,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.0274653579999722,
145
+ "mean": 0.14678076542856747,
146
+ "stdev": 0.0068162311396412125,
147
+ "p50": 0.14855993500003706,
148
+ "p90": 0.15281431319999683,
149
+ "p95": 0.155295000600006,
150
+ "p99": 0.15727955052001333,
151
  "values": [
152
+ 0.1495067299999846,
153
+ 0.14824085099996864,
154
+ 0.14855993500003706,
155
+ 0.14911602099999755,
156
+ 0.15777568800001518,
157
+ 0.137154761999966,
158
+ 0.13711137100000315
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.812881763357893
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.304252604643504e-06,
168
+ "ram": 2.2167999370878988e-07,
169
  "gpu": 0.0,
170
+ "total": 5.525932598352294e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 180964.92894216208
175
  }
176
  }
177
  }