IlyasMoutawwakil HF staff commited on
Commit
d1d0a05
1 Parent(s): 339bb2d

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": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "39ca491b78042552094f1505a2e66a0a588b62e8",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1161.486336,
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": 4.818520769999964,
112
- "mean": 4.818520769999964,
113
  "stdev": 0.0,
114
- "p50": 4.818520769999964,
115
- "p90": 4.818520769999964,
116
- "p95": 4.818520769999964,
117
- "p99": 4.818520769999964,
118
  "values": [
119
- 4.818520769999964
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.96305422166666e-05,
126
- "ram": 2.912003140609315e-06,
127
  "gpu": 0,
128
- "total": 7.254254535727591e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1189.347328,
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": 1.0872061750000626,
145
- "mean": 0.1553151678571518,
146
- "stdev": 0.0092195921800739,
147
- "p50": 0.1597211480000169,
148
- "p90": 0.1624541822000083,
149
- "p95": 0.16370695460000206,
150
- "p99": 0.1647091725199971,
151
  "values": [
152
- 0.16017682400001831,
153
- 0.15959353099998452,
154
- 0.1597211480000169,
155
- 0.1607838190000166,
156
- 0.16495972699999584,
157
- 0.14082035100000212,
158
- 0.14115077500002826
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.438521194013267
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.504983317361302e-06,
168
- "ram": 2.3019905100740625e-07,
169
  "gpu": 0.0,
170
- "total": 5.7351823683687085e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 174362.37172078554
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "c48d602cd7a21df41cc07305fa12549ed74a7e13",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1161.302016,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.771670896999979,
112
+ "mean": 4.771670896999979,
113
  "stdev": 0.0,
114
+ "p50": 4.771670896999979,
115
+ "p90": 4.771670896999979,
116
+ "p95": 4.771670896999979,
117
+ "p99": 4.771670896999979,
118
  "values": [
119
+ 4.771670896999979
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.846271483333403e-05,
126
+ "ram": 2.8631533392184894e-06,
127
  "gpu": 0,
128
+ "total": 7.132586817255252e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1189.41696,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.0511354550000078,
145
+ "mean": 0.150162207857144,
146
+ "stdev": 0.006646642186101764,
147
+ "p50": 0.15379492799996797,
148
+ "p90": 0.15482786480002914,
149
+ "p95": 0.15511855040002728,
150
+ "p99": 0.1553510988800258,
151
  "values": [
152
+ 0.15444028400003162,
153
+ 0.15379492799996797,
154
+ 0.15375206800001706,
155
+ 0.15540923600002543,
156
+ 0.15437147500000492,
157
+ 0.13976476499999535,
158
+ 0.13960269899996547
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.659465216117125
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.443992623611157e-06,
168
+ "ram": 2.2764615688095213e-07,
169
  "gpu": 0.0,
170
+ "total": 5.671638780492109e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 176315.88306356024
175
  }
176
  }
177
  }