IlyasMoutawwakil HF staff commited on
Commit
61de8ae
1 Parent(s): 73a3780

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": "0bd7e1264053df25f4ad4ebdeb2790e945a18460",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1166.241792,
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": 4.808239535000041,
112
- "mean": 4.808239535000041,
113
  "stdev": 0.0,
114
- "p50": 4.808239535000041,
115
- "p90": 4.808239535000041,
116
- "p95": 4.808239535000041,
117
- "p99": 4.808239535000041,
118
  "values": [
119
- 4.808239535000041
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.834667968333198e-05,
126
- "ram": 2.856705445968867e-06,
127
  "gpu": 0,
128
- "total": 7.120338512930085e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1197.326336,
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": 1.0383537490000094,
145
- "mean": 0.1483362498571442,
146
- "stdev": 0.005201737480429479,
147
- "p50": 0.15061716799999658,
148
- "p90": 0.15249401419998776,
149
- "p95": 0.15334676059998742,
150
- "p99": 0.15402895771998715,
151
  "values": [
152
- 0.15061716799999658,
153
- 0.1502035249999949,
154
- 0.15068132800001877,
155
- 0.1513570189999882,
156
- 0.15419950699998708,
157
- 0.14324417000000267,
158
- 0.13805103200002122
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.741440483786357
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.412080999305739e-06,
168
- "ram": 2.2618660893136984e-07,
169
  "gpu": 0.0,
170
- "total": 5.638267608237108e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 177359.4425598159
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "a05e8061e1f1403da4692a0464652cfdbef09161",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1166.098432,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.837170755000045,
112
+ "mean": 4.837170755000045,
113
  "stdev": 0.0,
114
+ "p50": 4.837170755000045,
115
+ "p90": 4.837170755000045,
116
+ "p95": 4.837170755000045,
117
+ "p99": 4.837170755000045,
118
  "values": [
119
+ 4.837170755000045
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.919295728333326e-05,
126
+ "ram": 2.892030988902702e-06,
127
  "gpu": 0,
128
+ "total": 7.208498827223596e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1194.057728,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.04269157300007,
145
+ "mean": 0.14895593900001,
146
+ "stdev": 0.007029879100178403,
147
+ "p50": 0.15042004399998632,
148
+ "p90": 0.1568445028000042,
149
+ "p95": 0.15701955039999688,
150
+ "p99": 0.15715958847999104,
151
  "values": [
152
+ 0.15719459799998958,
153
+ 0.15042004399998632,
154
+ 0.15001763100002563,
155
+ 0.15107279000000062,
156
+ 0.15661110600001393,
157
+ 0.1393327150000232,
158
+ 0.1380426890000308
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.713394623358608
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.4133634333334315e-06,
168
+ "ram": 2.262418876105061e-07,
169
  "gpu": 0.0,
170
+ "total": 5.639605320943938e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 177317.37295272702
175
  }
176
  }
177
  }