Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json
CHANGED
@@ -80,7 +80,7 @@
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.4.0",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.44.0",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
@@ -99,7 +99,7 @@
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram": 945.
|
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.
|
112 |
-
"mean": 4.
|
113 |
"stdev": 0.0,
|
114 |
-
"p50": 4.
|
115 |
-
"p90": 4.
|
116 |
-
"p95": 4.
|
117 |
-
"p99": 4.
|
118 |
"values": [
|
119 |
-
4.
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
-
"cpu": 4.
|
126 |
-
"ram": 2.
|
127 |
"gpu": 0,
|
128 |
-
"total":
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
-
"max_ram":
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
@@ -140,59 +140,61 @@
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
-
"count":
|
144 |
-
"total": 1.
|
145 |
-
"mean": 0.
|
146 |
-
"stdev": 0.
|
147 |
-
"p50": 0.
|
148 |
-
"p90": 0.
|
149 |
-
"p95": 0.
|
150 |
-
"p99": 0.
|
151 |
"values": [
|
152 |
-
0.
|
153 |
-
0.
|
154 |
-
0.
|
155 |
-
0.
|
156 |
-
0.
|
157 |
-
0.
|
158 |
-
0.
|
159 |
-
0.
|
160 |
-
0.
|
161 |
-
0.
|
162 |
-
0.
|
163 |
-
0.
|
164 |
-
0.
|
165 |
-
0.
|
166 |
-
0.
|
167 |
-
0.
|
168 |
-
0.
|
169 |
-
0.
|
170 |
-
0.
|
171 |
-
0.
|
172 |
-
0.
|
173 |
-
0.
|
174 |
-
0.
|
175 |
-
0.
|
176 |
-
0.
|
177 |
-
0.
|
178 |
-
0.
|
179 |
-
0.
|
|
|
|
|
180 |
]
|
181 |
},
|
182 |
"throughput": {
|
183 |
"unit": "samples/s",
|
184 |
-
"value":
|
185 |
},
|
186 |
"energy": {
|
187 |
"unit": "kWh",
|
188 |
-
"cpu": 1.
|
189 |
-
"ram": 5.
|
190 |
"gpu": 0.0,
|
191 |
-
"total": 1.
|
192 |
},
|
193 |
"efficiency": {
|
194 |
"unit": "samples/kWh",
|
195 |
-
"value":
|
196 |
}
|
197 |
}
|
198 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.4.0",
|
83 |
+
"optimum_benchmark_commit": "266cd5c4efbc5c3204bf4ed430519c2bcc4cc6ea",
|
84 |
"transformers_version": "4.44.0",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 945.160192,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.49727820999999,
|
112 |
+
"mean": 4.49727820999999,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.49727820999999,
|
115 |
+
"p90": 4.49727820999999,
|
116 |
+
"p95": 4.49727820999999,
|
117 |
+
"p99": 4.49727820999999,
|
118 |
"values": [
|
119 |
+
4.49727820999999
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.808942580555583e-05,
|
126 |
+
"ram": 2.009904187626909e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 5.009932999318274e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 953.679872,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
+
"count": 30,
|
144 |
+
"total": 1.0196715809999546,
|
145 |
+
"mean": 0.03398905269999849,
|
146 |
+
"stdev": 0.0018150551928041434,
|
147 |
+
"p50": 0.034506729500009214,
|
148 |
+
"p90": 0.03566249710000306,
|
149 |
+
"p95": 0.035891917950010566,
|
150 |
+
"p99": 0.03612367095000082,
|
151 |
"values": [
|
152 |
+
0.03520982099996672,
|
153 |
+
0.03490068400003565,
|
154 |
+
0.03409914000002345,
|
155 |
+
0.03340214899998273,
|
156 |
+
0.035456260999978895,
|
157 |
+
0.035528876000000764,
|
158 |
+
0.036173969999993005,
|
159 |
+
0.0354851039999744,
|
160 |
+
0.034276299999987714,
|
161 |
+
0.03365145499998334,
|
162 |
+
0.033981470000014724,
|
163 |
+
0.036000525000019934,
|
164 |
+
0.03493915600000719,
|
165 |
+
0.034496841000020595,
|
166 |
+
0.03477786499996682,
|
167 |
+
0.03412210200002619,
|
168 |
+
0.03391092800001161,
|
169 |
+
0.03544515999999476,
|
170 |
+
0.03484366800000771,
|
171 |
+
0.03496658699998534,
|
172 |
+
0.035759175999999115,
|
173 |
+
0.035651755000003504,
|
174 |
+
0.034516617999997834,
|
175 |
+
0.030806227999960356,
|
176 |
+
0.030844278000017766,
|
177 |
+
0.02987460099996042,
|
178 |
+
0.030404188000034083,
|
179 |
+
0.03077333499999213,
|
180 |
+
0.0342763699999864,
|
181 |
+
0.03109697000002143
|
182 |
]
|
183 |
},
|
184 |
"throughput": {
|
185 |
"unit": "samples/s",
|
186 |
+
"value": 29.421237738704157
|
187 |
},
|
188 |
"energy": {
|
189 |
"unit": "kWh",
|
190 |
+
"cpu": 1.1987503040403999e-06,
|
191 |
+
"ram": 5.009804033161488e-08,
|
192 |
"gpu": 0.0,
|
193 |
+
"total": 1.2488483443720146e-06
|
194 |
},
|
195 |
"efficiency": {
|
196 |
"unit": "samples/kWh",
|
197 |
+
"value": 800737.7392992034
|
198 |
}
|
199 |
}
|
200 |
}
|