IlyasMoutawwakil HF staff commited on
Commit
4bad8f5
1 Parent(s): f8414b4

Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "ebd20fcf042acf5db8d8956e7057fa93c82e14ab",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 866.684928,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,55 +107,52 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 24,
111
- "total": 1.0308077809999645,
112
- "mean": 0.04295032420833186,
113
- "stdev": 0.00100659787921789,
114
- "p50": 0.042908897000003776,
115
- "p90": 0.04430301899998597,
116
- "p95": 0.044687165099986714,
117
- "p99": 0.044949130770006035,
118
  "values": [
119
- 0.04407368500000075,
120
- 0.04331349000000273,
121
- 0.042880685000000085,
122
- 0.041639194999987694,
123
- 0.041936668000005284,
124
- 0.04116983099999061,
125
- 0.043516018000019585,
126
- 0.043948843000009674,
127
- 0.042538517999986425,
128
- 0.042703093999989505,
129
- 0.041845338000001675,
130
- 0.04262620200000811,
131
- 0.045012312000011434,
132
- 0.041866918000010855,
133
- 0.04351137899999458,
134
- 0.04293710900000747,
135
- 0.042503662999990866,
136
- 0.04318488100000195,
137
- 0.04359164100000612,
138
- 0.04307132899998578,
139
- 0.04221320299998865,
140
- 0.041584862999997085,
141
- 0.04440130499997963,
142
- 0.044737610999987965
143
  ]
144
  },
145
  "throughput": {
146
  "unit": "samples/s",
147
- "value": 23.282711328311972
148
  },
149
  "energy": {
150
  "unit": "kWh",
151
- "cpu": 1.6665189906402874e-06,
152
- "ram": 6.964489433683083e-08,
153
  "gpu": 0.0,
154
- "total": 1.7361638849771182e-06
155
  },
156
  "efficiency": {
157
  "unit": "samples/kWh",
158
- "value": 575982.4914300527
159
  }
160
  }
161
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "2d3261cf9b992810a685ce736f41254a91cd091e",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 866.6112,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 21,
111
+ "total": 1.0070568820000005,
112
+ "mean": 0.047955089619047646,
113
+ "stdev": 0.0014843870622803144,
114
+ "p50": 0.04803542599998423,
115
+ "p90": 0.05007839399999625,
116
+ "p95": 0.050122696999977734,
117
+ "p99": 0.05023626179999496,
118
  "values": [
119
+ 0.04825554900000384,
120
+ 0.0479707650000023,
121
+ 0.048372538000023724,
122
+ 0.045565279000015835,
123
+ 0.047916713999995864,
124
+ 0.04869165599998837,
125
+ 0.046698762000005445,
126
+ 0.04767752600000108,
127
+ 0.04374076000001992,
128
+ 0.047463905999990175,
129
+ 0.04803542599998423,
130
+ 0.04734254800001736,
131
+ 0.04804740800000218,
132
+ 0.04663721699998291,
133
+ 0.05026465299999927,
134
+ 0.048131786999988435,
135
+ 0.050122696999977734,
136
+ 0.049763743999989174,
137
+ 0.05007839399999625,
138
+ 0.04797301900001116,
139
+ 0.048306534000005286
 
 
 
140
  ]
141
  },
142
  "throughput": {
143
  "unit": "samples/s",
144
+ "value": 20.85284394094433
145
  },
146
  "energy": {
147
  "unit": "kWh",
148
+ "cpu": 1.5618670781453452e-06,
149
+ "ram": 6.527132225752439e-08,
150
  "gpu": 0.0,
151
+ "total": 1.6271384004028696e-06
152
  },
153
  "efficiency": {
154
  "unit": "samples/kWh",
155
+ "value": 614575.8712057966
156
  }
157
  }
158
  }