IlyasMoutawwakil HF staff commited on
Commit
816c920
1 Parent(s): 2ef0a9b

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": "ad8304e396fddb59b6d30eac80ef8cc12fbeb7ca",
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": 1165.991936,
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": 4.776592894000032,
112
- "mean": 4.776592894000032,
113
  "stdev": 0.0,
114
- "p50": 4.776592894000032,
115
- "p90": 4.776592894000032,
116
- "p95": 4.776592894000032,
117
- "p99": 4.776592894000032,
118
  "values": [
119
- 4.776592894000032
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.899590456111121e-05,
126
- "ram": 2.883872794852237e-06,
127
  "gpu": 0,
128
- "total": 7.187977735596345e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1194.020864,
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": 1.0347335549999457,
145
- "mean": 0.14781907928570653,
146
- "stdev": 0.00622919321498346,
147
- "p50": 0.14981702199997926,
148
- "p90": 0.15379507379999496,
149
- "p95": 0.15521039490000135,
150
- "p99": 0.15634265178000645,
151
  "values": [
152
- 0.14836460199995827,
153
- 0.14981702199997926,
154
- 0.15052700200004665,
155
- 0.15190797899998643,
156
- 0.15662571600000774,
157
- 0.13801543399995353,
158
- 0.1394758000000138
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.765026577301214
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.322002189583428e-06,
168
- "ram": 2.224228345558794e-07,
169
  "gpu": 0.0,
170
- "total": 5.544425024139307e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 180361.35318742736
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "99845de916385ea3b9e57b06388cfee4e07996cb",
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": 1166.102528,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.982938891999993,
112
+ "mean": 4.982938891999993,
113
  "stdev": 0.0,
114
+ "p50": 4.982938891999993,
115
+ "p90": 4.982938891999993,
116
+ "p95": 4.982938891999993,
117
+ "p99": 4.982938891999993,
118
  "values": [
119
+ 4.982938891999993
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.87283700444444e-05,
126
+ "ram": 2.872689092300084e-06,
127
  "gpu": 0,
128
+ "total": 7.160105913674449e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1194.1888,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.0447675630000504,
145
+ "mean": 0.1492525090000072,
146
+ "stdev": 0.005471907735800017,
147
+ "p50": 0.15056289599999673,
148
+ "p90": 0.15541585479999184,
149
+ "p95": 0.1556719729000065,
150
+ "p99": 0.1558768673800182,
151
  "values": [
152
+ 0.15507436399997232,
153
+ 0.1498596120000002,
154
+ 0.15056289599999673,
155
+ 0.15072644300005322,
156
+ 0.15592809100002114,
157
+ 0.14073846999997386,
158
+ 0.1418776870000329
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.7000548714390575
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.625990800000284e-06,
168
+ "ram": 2.351090396998914e-07,
169
  "gpu": 0.0,
170
+ "total": 5.861099839700176e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 170616.44185388164
175
  }
176
  }
177
  }