IlyasMoutawwakil HF staff commited on
Commit
088e1db
1 Parent(s): 8aaecd9

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
- "optimum_benchmark_commit": "c551ed4717b9f9db50458281347948dd265d9e3b",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 938.958848,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,54 +107,53 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 23,
111
- "total": 1.032958348000136,
112
- "mean": 0.044911232521745045,
113
- "stdev": 0.0027937823044942604,
114
- "p50": 0.0459986919999551,
115
- "p90": 0.04677506860001586,
116
- "p95": 0.04738425579996601,
117
- "p99": 0.04817975731998104,
118
  "values": [
119
- 0.04745186599996032,
120
- 0.046513284000013755,
121
- 0.04664661200001774,
122
- 0.04677576400001726,
123
- 0.04838505999998688,
124
- 0.04609447199999295,
125
- 0.045602460999987215,
126
- 0.04655668400005197,
127
- 0.046300174999998944,
128
- 0.0457098229999815,
129
- 0.04553813199999013,
130
- 0.04677228700001024,
131
- 0.045263267999985146,
132
- 0.046377279000012095,
133
- 0.04612579000001915,
134
- 0.045030324000038036,
135
- 0.0459986919999551,
136
- 0.04546000600004163,
137
- 0.0438981470000499,
138
- 0.03952730399998927,
139
- 0.03893196199999238,
140
- 0.03888610699999617,
141
- 0.0391128490000483
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 22.266144655812365
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.5544200554872173e-06,
151
- "ram": 6.496215498784225e-08,
152
  "gpu": 0.0,
153
- "total": 1.6193822104750594e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 617519.4426191958
158
  }
159
  }
160
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "dc29eecfd7850e87154a5a92442eb64d237d0070",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 939.204608,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 22,
111
+ "total": 1.0003290999995897,
112
+ "mean": 0.0454695045454359,
113
+ "stdev": 0.002885494148258565,
114
+ "p50": 0.04647965899994233,
115
+ "p90": 0.04724339029994553,
116
+ "p95": 0.04799552659998767,
117
+ "p99": 0.04929054660003317,
118
  "values": [
119
+ 0.049624350000044615,
120
+ 0.0480348099999901,
121
+ 0.04619613400006983,
122
+ 0.04724914199994146,
123
+ 0.046846158999983345,
124
+ 0.04683418599995548,
125
+ 0.04545650199997908,
126
+ 0.047191624999982196,
127
+ 0.04614087099992048,
128
+ 0.04678968299992903,
129
+ 0.04701454399992144,
130
+ 0.04542609599991465,
131
+ 0.04672186699997383,
132
+ 0.0468783500000427,
133
+ 0.04616784200004531,
134
+ 0.04647761999990507,
135
+ 0.04648169799997959,
136
+ 0.046225980000031086,
137
+ 0.04073575200004598,
138
+ 0.03939774199989188,
139
+ 0.03885540900000706,
140
+ 0.03958273800003553
 
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
+ "value": 21.992762181974935
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
+ "cpu": 1.5300707939343576e-06,
150
+ "ram": 6.394326589696238e-08,
151
  "gpu": 0.0,
152
+ "total": 1.5940140598313198e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
+ "value": 627347.0386489696
157
  }
158
  }
159
  }