IlyasMoutawwakil HF staff commited on
Commit
119459f
1 Parent(s): 3355bb4

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": "d9ffe3b3809e940419695c4a39c0122d5a6e1611",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1165.582336,
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": 4.83226941800001,
112
- "mean": 4.83226941800001,
113
  "stdev": 0.0,
114
- "p50": 4.83226941800001,
115
- "p90": 4.83226941800001,
116
- "p95": 4.83226941800001,
117
- "p99": 4.83226941800001,
118
  "values": [
119
- 4.83226941800001
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.910281501666779e-05,
126
- "ram": 2.8883355798994274e-06,
127
  "gpu": 0,
128
- "total": 7.199115059656722e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1193.627648,
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": 1.0653612460000659,
145
- "mean": 0.15219446371429513,
146
- "stdev": 0.008076224834966974,
147
- "p50": 0.1560935290000316,
148
- "p90": 0.15912547580001046,
149
- "p95": 0.15955955239999753,
150
- "p99": 0.1599068136799872,
151
  "values": [
152
- 0.1566337510000153,
153
- 0.1599936289999846,
154
- 0.1560935290000316,
155
- 0.1585467070000277,
156
- 0.15475483799997392,
157
- 0.1399691780000012,
158
- 0.13936961400003156
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.570541237802419
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.3953540472220775e-06,
168
- "ram": 2.2548803780186692e-07,
169
  "gpu": 0.0,
170
- "total": 5.6208420850239445e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 177909.28563255304
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "f9861fced16a3dc82c7a05e66fd9a3b22cd9c663",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1165.795328,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.835607434999986,
112
+ "mean": 4.835607434999986,
113
  "stdev": 0.0,
114
+ "p50": 4.835607434999986,
115
+ "p90": 4.835607434999986,
116
+ "p95": 4.835607434999986,
117
+ "p99": 4.835607434999986,
118
  "values": [
119
+ 4.835607434999986
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.852975227777608e-05,
126
+ "ram": 2.8643700587278335e-06,
127
  "gpu": 0,
128
+ "total": 7.139412233650391e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1193.312256,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.0278451109999764,
145
+ "mean": 0.14683501585713948,
146
+ "stdev": 0.005652283542019504,
147
+ "p50": 0.1495459710000091,
148
+ "p90": 0.15127071900000147,
149
+ "p95": 0.15198538649999022,
150
+ "p99": 0.15255712049998124,
151
  "values": [
152
+ 0.1495459710000091,
153
+ 0.14908463599999777,
154
+ 0.15031782900001645,
155
+ 0.15000919900001009,
156
+ 0.152700053999979,
157
+ 0.1371441910000044,
158
+ 0.13904323099995963
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.810364640631307
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.478206538194563e-06,
168
+ "ram": 2.2894519319453488e-07,
169
  "gpu": 0.0,
170
+ "total": 5.707151731389098e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 175218.75132564665
175
  }
176
  }
177
  }