IlyasMoutawwakil HF staff commited on
Commit
72df5c0
1 Parent(s): af5b223

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": "0.3.1",
83
- "optimum_benchmark_commit": "16c37a2d0a7e1a726b6a2a50e2fbcf32df3b575c",
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": 559.251456,
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": 19.43276266500004,
112
- "mean": 19.43276266500004,
113
  "stdev": 0.0,
114
- "p50": 19.43276266500004,
115
- "p90": 19.43276266500004,
116
- "p95": 19.43276266500004,
117
- "p99": 19.43276266500004,
118
  "values": [
119
- 19.43276266500004
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 0.000628780894809299,
126
- "ram": 2.628452855075693e-05,
127
  "gpu": 0,
128
- "total": 0.0006550654233600559
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 5906.477056,
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": 48.40600929799996,
145
- "mean": 48.40600929799996,
146
  "stdev": 0.0,
147
- "p50": 48.40600929799996,
148
- "p90": 48.40600929799996,
149
- "p95": 48.40600929799996,
150
- "p99": 48.40600929799996,
151
  "values": [
152
- 48.40600929799996
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
- "value": 0.020658592073635743
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
- "cpu": 0.0018808582279417252,
162
- "ram": 7.86252102109404e-05,
163
  "gpu": 0.0,
164
- "total": 0.0019594834381526658
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
- "value": 510.33858236779275
169
  }
170
  }
171
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "91971089040d6dac4da0f6b0a30eec8415a34544",
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": 558.043136,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 21.797749545999977,
112
+ "mean": 21.797749545999977,
113
  "stdev": 0.0,
114
+ "p50": 21.797749545999977,
115
+ "p90": 21.797749545999977,
116
+ "p95": 21.797749545999977,
117
+ "p99": 21.797749545999977,
118
  "values": [
119
+ 21.797749545999977
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 0.0007246526466475593,
126
+ "ram": 3.029235152132969e-05,
127
  "gpu": 0,
128
+ "total": 0.0007549449981688889
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 6004.51072,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
+ "total": 48.82059398199999,
145
+ "mean": 48.82059398199999,
146
  "stdev": 0.0,
147
+ "p50": 48.82059398199999,
148
+ "p90": 48.82059398199999,
149
+ "p95": 48.82059398199999,
150
+ "p99": 48.82059398199999,
151
  "values": [
152
+ 48.82059398199999
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
+ "value": 0.02048315922515603
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
+ "cpu": 0.0018983883725272287,
162
+ "ram": 7.935799167261847e-05,
163
  "gpu": 0.0,
164
+ "total": 0.001977746364199847
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
+ "value": 505.6260085223709
169
  }
170
  }
171
  }