IlyasMoutawwakil HF staff commited on
Commit
525c2d2
·
verified ·
1 Parent(s): 23259cf

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": "d8816b4c0da0f2d5070aafea079268e540cac30e",
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": 1165.983744,
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": 4.808438069999966,
112
- "mean": 4.808438069999966,
113
  "stdev": 0.0,
114
- "p50": 4.808438069999966,
115
- "p90": 4.808438069999966,
116
- "p95": 4.808438069999966,
117
- "p99": 4.808438069999966,
118
  "values": [
119
- 4.808438069999966
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.887896485555448e-05,
126
- "ram": 2.8789809987447065e-06,
127
  "gpu": 0,
128
- "total": 7.175794585429918e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1198.12096,
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": 1.0667540530000679,
145
- "mean": 0.15239343614286685,
146
- "stdev": 0.009197406964594276,
147
- "p50": 0.15782477099998005,
148
- "p90": 0.15887892800000145,
149
- "p95": 0.1593440449999946,
150
- "p99": 0.1597161385999891,
151
  "values": [
152
- 0.15707230300000674,
153
- 0.15782477099998005,
154
- 0.1579849999999965,
155
- 0.1582587720000106,
156
- 0.15980916199998774,
157
- 0.13811648800003695,
158
- 0.1376875570000493
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.561962413279487
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.408268415278015e-06,
168
- "ram": 2.2601965117740206e-07,
169
  "gpu": 0.0,
170
- "total": 5.634288066455417e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 177484.71292294242
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "5ebc3e9d50d422174abacffe7091e4c9e1a49815",
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": 1166.62272,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.8078744980000465,
112
+ "mean": 4.8078744980000465,
113
  "stdev": 0.0,
114
+ "p50": 4.8078744980000465,
115
+ "p90": 4.8078744980000465,
116
+ "p95": 4.8078744980000465,
117
+ "p99": 4.8078744980000465,
118
  "values": [
119
+ 4.8078744980000465
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 7.031651654999615e-05,
126
+ "ram": 2.9390674606737665e-06,
127
  "gpu": 0,
128
+ "total": 7.325558401066992e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1194.602496,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.048867221999899,
145
+ "mean": 0.14983817457141413,
146
+ "stdev": 0.009103206846547215,
147
+ "p50": 0.1542066120000527,
148
+ "p90": 0.15724374619999254,
149
+ "p95": 0.1588241771000071,
150
+ "p99": 0.16008852182001873,
151
  "values": [
152
+ 0.1551365049999731,
153
+ 0.1542066120000527,
154
+ 0.15467728399994485,
155
+ 0.16040460800002165,
156
+ 0.15268466899999567,
157
+ 0.13598878799996328,
158
+ 0.13576875599994764
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.673866675567324
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.335043296527826e-06,
168
+ "ram": 2.2296025078244222e-07,
169
  "gpu": 0.0,
170
+ "total": 5.558003547310268e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 179920.7200009684
175
  }
176
  }
177
  }