Commit
•
da4e61b
1
Parent(s):
79353bb
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
@@ -74,14 +74,14 @@
|
|
74 |
"environment": {
|
75 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
76 |
"cpu_count": 4,
|
77 |
-
"cpu_ram_mb": 16757.
|
78 |
"system": "Linux",
|
79 |
"machine": "x86_64",
|
80 |
"platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
|
81 |
"processor": "x86_64",
|
82 |
"python_version": "3.10.14",
|
83 |
"optimum_benchmark_version": "0.3.1",
|
84 |
-
"optimum_benchmark_commit": "
|
85 |
"transformers_version": "4.42.4",
|
86 |
"transformers_commit": null,
|
87 |
"accelerate_version": "0.32.1",
|
@@ -100,7 +100,7 @@
|
|
100 |
"forward": {
|
101 |
"memory": {
|
102 |
"unit": "MB",
|
103 |
-
"max_ram":
|
104 |
"max_global_vram": null,
|
105 |
"max_process_vram": null,
|
106 |
"max_reserved": null,
|
@@ -109,55 +109,55 @@
|
|
109 |
"latency": {
|
110 |
"unit": "s",
|
111 |
"count": 25,
|
112 |
-
"total": 1.
|
113 |
-
"mean": 0.
|
114 |
-
"stdev": 0.
|
115 |
-
"p50": 0.
|
116 |
-
"p90": 0.
|
117 |
-
"p95": 0.
|
118 |
-
"p99": 0.
|
119 |
"values": [
|
120 |
-
0.
|
121 |
-
0.
|
122 |
-
0.
|
123 |
-
0.
|
124 |
-
0.
|
125 |
-
0.
|
126 |
-
0.
|
127 |
-
0.
|
128 |
-
0.
|
129 |
-
0.
|
130 |
-
0.
|
131 |
-
0.
|
132 |
-
0.
|
133 |
-
0.
|
134 |
-
0.
|
135 |
-
0.
|
136 |
-
0.
|
137 |
-
0.
|
138 |
-
0.
|
139 |
-
0.
|
140 |
-
0.
|
141 |
-
0.
|
142 |
-
0.
|
143 |
-
0.
|
144 |
-
0.
|
145 |
]
|
146 |
},
|
147 |
"throughput": {
|
148 |
"unit": "samples/s",
|
149 |
-
"value": 24.
|
150 |
},
|
151 |
"energy": {
|
152 |
"unit": "kWh",
|
153 |
-
"cpu": 1.
|
154 |
-
"ram": 6.
|
155 |
"gpu": 0.0,
|
156 |
-
"total": 1.
|
157 |
},
|
158 |
"efficiency": {
|
159 |
"unit": "samples/kWh",
|
160 |
-
"value":
|
161 |
}
|
162 |
}
|
163 |
}
|
|
|
74 |
"environment": {
|
75 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
76 |
"cpu_count": 4,
|
77 |
+
"cpu_ram_mb": 16757.342208,
|
78 |
"system": "Linux",
|
79 |
"machine": "x86_64",
|
80 |
"platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
|
81 |
"processor": "x86_64",
|
82 |
"python_version": "3.10.14",
|
83 |
"optimum_benchmark_version": "0.3.1",
|
84 |
+
"optimum_benchmark_commit": "73dd36ea04ff1cc8259f4039b6f9d56dfb9eecd1",
|
85 |
"transformers_version": "4.42.4",
|
86 |
"transformers_commit": null,
|
87 |
"accelerate_version": "0.32.1",
|
|
|
100 |
"forward": {
|
101 |
"memory": {
|
102 |
"unit": "MB",
|
103 |
+
"max_ram": 942.256128,
|
104 |
"max_global_vram": null,
|
105 |
"max_process_vram": null,
|
106 |
"max_reserved": null,
|
|
|
109 |
"latency": {
|
110 |
"unit": "s",
|
111 |
"count": 25,
|
112 |
+
"total": 1.0344535810000366,
|
113 |
+
"mean": 0.04137814324000146,
|
114 |
+
"stdev": 0.0007554426133065928,
|
115 |
+
"p50": 0.04104981399996177,
|
116 |
+
"p90": 0.04242774700001064,
|
117 |
+
"p95": 0.042488004600022576,
|
118 |
+
"p99": 0.043137132240017306,
|
119 |
"values": [
|
120 |
+
0.04087464599996338,
|
121 |
+
0.04248816900002339,
|
122 |
+
0.04104981399996177,
|
123 |
+
0.041132188000005954,
|
124 |
+
0.040866349999987506,
|
125 |
+
0.040800415999967754,
|
126 |
+
0.04099159499997995,
|
127 |
+
0.040969784000026266,
|
128 |
+
0.04159802999998874,
|
129 |
+
0.04149797299999136,
|
130 |
+
0.042487347000019327,
|
131 |
+
0.041719929999999295,
|
132 |
+
0.04148687199995038,
|
133 |
+
0.040652889000000414,
|
134 |
+
0.04233834699999761,
|
135 |
+
0.04226485099997035,
|
136 |
+
0.04094710100002885,
|
137 |
+
0.04098006300000634,
|
138 |
+
0.04334206800001539,
|
139 |
+
0.04227942800002893,
|
140 |
+
0.04154735600002368,
|
141 |
+
0.04083849800002781,
|
142 |
+
0.04056997500003945,
|
143 |
+
0.04041915200002677,
|
144 |
+
0.040310739000005924
|
145 |
]
|
146 |
},
|
147 |
"throughput": {
|
148 |
"unit": "samples/s",
|
149 |
+
"value": 24.167348307530403
|
150 |
},
|
151 |
"energy": {
|
152 |
"unit": "kWh",
|
153 |
+
"cpu": 1.5666487481858996e-06,
|
154 |
+
"ram": 6.547255926125217e-08,
|
155 |
"gpu": 0.0,
|
156 |
+
"total": 1.6321213074471516e-06
|
157 |
},
|
158 |
"efficiency": {
|
159 |
"unit": "samples/kWh",
|
160 |
+
"value": 612699.5557481748
|
161 |
}
|
162 |
}
|
163 |
}
|