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": "
|
84 |
"transformers_version": "4.43.3",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
@@ -99,7 +99,7 @@
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram": 1168.
|
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":
|
112 |
-
"mean":
|
113 |
"stdev": 0.0,
|
114 |
-
"p50":
|
115 |
-
"p90":
|
116 |
-
"p95":
|
117 |
-
"p99":
|
118 |
"values": [
|
119 |
-
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
-
"cpu": 6.
|
126 |
-
"ram": 2.
|
127 |
"gpu": 0,
|
128 |
-
"total": 7.
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
-
"max_ram": 1196.
|
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.
|
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 |
]
|
160 |
},
|
161 |
"throughput": {
|
162 |
"unit": "samples/s",
|
163 |
-
"value": 6.
|
164 |
},
|
165 |
"energy": {
|
166 |
"unit": "kWh",
|
167 |
-
"cpu": 5.
|
168 |
-
"ram": 2.
|
169 |
"gpu": 0.0,
|
170 |
-
"total": 5.
|
171 |
},
|
172 |
"efficiency": {
|
173 |
"unit": "samples/kWh",
|
174 |
-
"value":
|
175 |
}
|
176 |
}
|
177 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.4.0",
|
83 |
+
"optimum_benchmark_commit": "65fa416fd503cfe9a2be7637ee30c70a4a1f96f1",
|
84 |
"transformers_version": "4.43.3",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 1168.912384,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 5.039063962,
|
112 |
+
"mean": 5.039063962,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 5.039063962,
|
115 |
+
"p90": 5.039063962,
|
116 |
+
"p95": 5.039063962,
|
117 |
+
"p99": 5.039063962,
|
118 |
"values": [
|
119 |
+
5.039063962
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 6.976863808102079e-05,
|
126 |
+
"ram": 2.9161462143247262e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 7.268478429534552e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 1196.998656,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
"count": 7,
|
144 |
+
"total": 1.0738037109999823,
|
145 |
+
"mean": 0.15340053014285462,
|
146 |
+
"stdev": 0.005693297912395799,
|
147 |
+
"p50": 0.15408067999999275,
|
148 |
+
"p90": 0.15917546460000268,
|
149 |
+
"p95": 0.16019995530000414,
|
150 |
+
"p99": 0.16101954786000533,
|
151 |
"values": [
|
152 |
+
0.16122444600000563,
|
153 |
+
0.15385371600001463,
|
154 |
+
0.15477319600000783,
|
155 |
+
0.15408067999999275,
|
156 |
+
0.1578094770000007,
|
157 |
+
0.15021880399996235,
|
158 |
+
0.1418433919999984
|
159 |
]
|
160 |
},
|
161 |
"throughput": {
|
162 |
"unit": "samples/s",
|
163 |
+
"value": 6.5188822950530065
|
164 |
},
|
165 |
"energy": {
|
166 |
"unit": "kWh",
|
167 |
+
"cpu": 5.661718050638835e-06,
|
168 |
+
"ram": 2.3659946637427052e-07,
|
169 |
"gpu": 0.0,
|
170 |
+
"total": 5.898317517013105e-06
|
171 |
},
|
172 |
"efficiency": {
|
173 |
"unit": "samples/kWh",
|
174 |
+
"value": 169539.87253409135
|
175 |
}
|
176 |
}
|
177 |
}
|