IlyasMoutawwakil HF staff commited on
Commit
de629fc
1 Parent(s): b397d9e

Upload cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub

Browse files
cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/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": "d8816b4c0da0f2d5070aafea079268e540cac30e",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 557.367296,
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": 19.377130904000012,
112
- "mean": 19.377130904000012,
113
  "stdev": 0.0,
114
- "p50": 19.377130904000012,
115
- "p90": 19.377130904000012,
116
- "p95": 19.377130904000012,
117
- "p99": 19.377130904000012,
118
  "values": [
119
- 19.377130904000012
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 0.0006335544495388885,
126
- "ram": 2.6484033069606524e-05,
127
  "gpu": 0,
128
- "total": 0.000660038482608495
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 5924.974592,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -141,31 +141,31 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
- "total": 49.148424949999935,
145
- "mean": 49.148424949999935,
146
  "stdev": 0.0,
147
- "p50": 49.148424949999935,
148
- "p90": 49.148424949999935,
149
- "p95": 49.148424949999935,
150
- "p99": 49.148424949999935,
151
  "values": [
152
- 49.148424949999935
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
- "value": 0.020346531979759837
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
- "cpu": 0.0019014050465277783,
162
- "ram": 7.948409912717679e-05,
163
  "gpu": 0.0,
164
- "total": 0.001980889145654955
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
- "value": 504.8238071239282
169
  }
170
  }
171
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "04f11cfa2362366194d86281303d45b96dbfadaa",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 557.21984,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 19.09128903300001,
112
+ "mean": 19.09128903300001,
113
  "stdev": 0.0,
114
+ "p50": 19.09128903300001,
115
+ "p90": 19.09128903300001,
116
+ "p95": 19.09128903300001,
117
+ "p99": 19.09128903300001,
118
  "values": [
119
+ 19.09128903300001
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 0.0006214725590111118,
126
+ "ram": 2.5979055789881165e-05,
127
  "gpu": 0,
128
+ "total": 0.0006474516148009929
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 5973.9136,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
+ "total": 48.48016519700002,
145
+ "mean": 48.48016519700002,
146
  "stdev": 0.0,
147
+ "p50": 48.48016519700002,
148
+ "p90": 48.48016519700002,
149
+ "p95": 48.48016519700002,
150
+ "p99": 48.48016519700002,
151
  "values": [
152
+ 48.48016519700002
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
+ "value": 0.020626992419198287
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
+ "cpu": 0.0018810964144388917,
162
+ "ram": 7.86352054756867e-05,
163
  "gpu": 0.0,
164
+ "total": 0.0019597316199145786
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
+ "value": 510.27395273827767
169
  }
170
  }
171
  }