IlyasMoutawwakil HF staff commited on
Commit
e8dda51
1 Parent(s): f341aed

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": "0.4.0",
83
- "optimum_benchmark_commit": "778fa3dbf39228b4d5e8f6de2e971dc51a6becb0",
84
  "transformers_version": "4.44.1",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1165.848576,
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": 4.778567921999979,
112
- "mean": 4.778567921999979,
113
  "stdev": 0.0,
114
- "p50": 4.778567921999979,
115
- "p90": 4.778567921999979,
116
- "p95": 4.778567921999979,
117
- "p99": 4.778567921999979,
118
  "values": [
119
- 4.778567921999979
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.95754166722234e-05,
126
- "ram": 2.9080917312999004e-06,
127
  "gpu": 0,
128
- "total": 7.24835084035233e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1194.000384,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,37 +140,38 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 6,
144
- "total": 1.0342803549999644,
145
- "mean": 0.17238005916666074,
146
- "stdev": 0.03855915082060812,
147
- "p50": 0.15679007999997907,
148
- "p90": 0.22395817800000373,
149
- "p95": 0.22424410699998987,
150
- "p99": 0.22447285019997879,
151
  "values": [
152
- 0.22338632000003145,
153
- 0.224530035999976,
154
- 0.17296386099997108,
155
- 0.1362912559999927,
156
- 0.1364925830000061,
157
- 0.14061629899998707
 
158
  ]
159
  },
160
  "throughput": {
161
  "unit": "samples/s",
162
- "value": 5.801135031710243
163
  },
164
  "energy": {
165
  "unit": "kWh",
166
- "cpu": 5.352462135416521e-06,
167
- "ram": 2.236946337287354e-07,
168
  "gpu": 0.0,
169
- "total": 5.576156769145256e-06
170
  },
171
  "efficiency": {
172
  "unit": "samples/kWh",
173
- "value": 179334.9866943008
174
  }
175
  }
176
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "f6787fbf3518a3e33d2022686e1f8d21fe5324b9",
84
  "transformers_version": "4.44.1",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1166.11072,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.716676997000036,
112
+ "mean": 4.716676997000036,
113
  "stdev": 0.0,
114
+ "p50": 4.716676997000036,
115
+ "p90": 4.716676997000036,
116
+ "p95": 4.716676997000036,
117
+ "p99": 4.716676997000036,
118
  "values": [
119
+ 4.716676997000036
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.82347513555565e-05,
126
+ "ram": 2.8520052357963673e-06,
127
  "gpu": 0,
128
+ "total": 7.108675659135287e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1194.082304,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 7,
144
+ "total": 1.0149173199998813,
145
+ "mean": 0.14498818857141163,
146
+ "stdev": 0.010260883258439813,
147
+ "p50": 0.1474695249999627,
148
+ "p90": 0.15468106779995877,
149
+ "p95": 0.15478231389996608,
150
+ "p99": 0.15486331077997192,
151
  "values": [
152
+ 0.14619967999999517,
153
+ 0.15488355999997339,
154
+ 0.15279439099998626,
155
+ 0.15454607299994905,
156
+ 0.1474695249999627,
157
+ 0.12978130300001567,
158
+ 0.1292427879999991
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.897113550097675
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.17256188263886e-06,
168
+ "ram": 2.161767632375489e-07,
169
  "gpu": 0.0,
170
+ "total": 5.388738645876409e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 185572.18408898413
175
  }
176
  }
177
  }