IlyasMoutawwakil HF staff commited on
Commit
18200b0
1 Parent(s): fe4ac60

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": "5db40d6ac008e1084f2d5d94bfa9d3c5d3529a27",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 555.86816,
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": 23.952880370000003,
112
- "mean": 23.952880370000003,
113
  "stdev": 0.0,
114
- "p50": 23.952880370000003,
115
- "p90": 23.952880370000003,
116
- "p95": 23.952880370000003,
117
- "p99": 23.952880370000003,
118
  "values": [
119
- 23.952880370000003
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 0.0008125111562944458,
126
- "ram": 3.396506624982192e-05,
127
  "gpu": 0,
128
- "total": 0.0008464762225442677
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 5923.086336,
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": 48.68774548399995,
145
- "mean": 48.68774548399995,
146
  "stdev": 0.0,
147
- "p50": 48.68774548399995,
148
- "p90": 48.68774548399995,
149
- "p95": 48.68774548399995,
150
- "p99": 48.68774548399995,
151
  "values": [
152
- 48.68774548399995
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
- "value": 0.02053904920137709
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
- "cpu": 0.0018926492894944433,
162
- "ram": 7.911806002939812e-05,
163
  "gpu": 0.0,
164
- "total": 0.0019717673495238414
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
- "value": 507.15922456140083
169
  }
170
  }
171
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "a5a350c56b08f0a4cf90d3c7d06fa41c798bfc83",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 553.877504,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 39.64725082699999,
112
+ "mean": 39.64725082699999,
113
  "stdev": 0.0,
114
+ "p50": 39.64725082699999,
115
+ "p90": 39.64725082699999,
116
+ "p95": 39.64725082699999,
117
+ "p99": 39.64725082699999,
118
  "values": [
119
+ 39.64725082699999
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 0.0014186261498499997,
126
+ "ram": 5.930256560560123e-05,
127
  "gpu": 0,
128
+ "total": 0.001477928715455601
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 5964.43136,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
+ "total": 48.95777525599999,
145
+ "mean": 48.95777525599999,
146
  "stdev": 0.0,
147
+ "p50": 48.95777525599999,
148
+ "p90": 48.95777525599999,
149
+ "p95": 48.95777525599999,
150
+ "p99": 48.95777525599999,
151
  "values": [
152
+ 48.95777525599999
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
+ "value": 0.020425764748724883
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
+ "cpu": 0.0019036254122277785,
162
+ "ram": 7.957688355188946e-05,
163
  "gpu": 0.0,
164
+ "total": 0.001983202295779668
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
+ "value": 504.2349951530608
169
  }
170
  }
171
  }