Commit
•
803f5e6
1
Parent(s):
468eebb
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": "0.3.1",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.42.4",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.32.1",
|
@@ -99,7 +99,7 @@
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram":
|
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":
|
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,
|
@@ -141,52 +141,52 @@
|
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
"count": 22,
|
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 |
]
|
175 |
},
|
176 |
"throughput": {
|
177 |
"unit": "samples/s",
|
178 |
-
"value": 21.
|
179 |
},
|
180 |
"energy": {
|
181 |
"unit": "kWh",
|
182 |
-
"cpu": 1.
|
183 |
-
"ram": 6.
|
184 |
"gpu": 0.0,
|
185 |
-
"total": 1.
|
186 |
},
|
187 |
"efficiency": {
|
188 |
"unit": "samples/kWh",
|
189 |
-
"value":
|
190 |
}
|
191 |
}
|
192 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
+
"optimum_benchmark_commit": "6f7b069b4b0cde5708134b51a746a564e69874ce",
|
84 |
"transformers_version": "4.42.4",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.32.1",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 940.46208,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.351824306000026,
|
112 |
+
"mean": 4.351824306000026,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.351824306000026,
|
115 |
+
"p90": 4.351824306000026,
|
116 |
+
"p95": 4.351824306000026,
|
117 |
+
"p99": 4.351824306000026,
|
118 |
"values": [
|
119 |
+
4.351824306000026
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.8534108532799616e-05,
|
126 |
+
"ram": 2.028484392390055e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 5.0562592925189674e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 951.472128,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
"count": 22,
|
144 |
+
"total": 1.0254259049999632,
|
145 |
+
"mean": 0.04661026840908924,
|
146 |
+
"stdev": 0.0019988316068848323,
|
147 |
+
"p50": 0.046479095999984565,
|
148 |
+
"p90": 0.04746222160000002,
|
149 |
+
"p95": 0.047577709449973325,
|
150 |
+
"p99": 0.053196301369955554,
|
151 |
"values": [
|
152 |
+
0.05468849899995121,
|
153 |
+
0.04748106499999949,
|
154 |
+
0.04556952000001502,
|
155 |
+
0.0472926310000048,
|
156 |
+
0.047139792999985275,
|
157 |
+
0.04643960600003538,
|
158 |
+
0.046614083999998,
|
159 |
+
0.0440417469999943,
|
160 |
+
0.047087705000024016,
|
161 |
+
0.04650188200002958,
|
162 |
+
0.045884662999981174,
|
163 |
+
0.04660533800000621,
|
164 |
+
0.04723800700003267,
|
165 |
+
0.045350808000023335,
|
166 |
+
0.04646948300000986,
|
167 |
+
0.04648870899995927,
|
168 |
+
0.04621135700000423,
|
169 |
+
0.04446125499998743,
|
170 |
+
0.04599767500002372,
|
171 |
+
0.045471624999947835,
|
172 |
+
0.04758279599997195,
|
173 |
+
0.04480765699997846
|
174 |
]
|
175 |
},
|
176 |
"throughput": {
|
177 |
"unit": "samples/s",
|
178 |
+
"value": 21.45449992313271
|
179 |
},
|
180 |
"energy": {
|
181 |
"unit": "kWh",
|
182 |
+
"cpu": 1.5690657297770185e-06,
|
183 |
+
"ram": 6.557472835402222e-08,
|
184 |
"gpu": 0.0,
|
185 |
+
"total": 1.6346404581310409e-06
|
186 |
},
|
187 |
"efficiency": {
|
188 |
"unit": "samples/kWh",
|
189 |
+
"value": 611755.3221112279
|
190 |
}
|
191 |
}
|
192 |
}
|