IlyasMoutawwakil HF staff commited on
Commit
50c2d49
1 Parent(s): 1618b9d

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
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
- "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.5.0",
83
- "optimum_benchmark_commit": "0482e71303c5bdcabeb9c58b677342ae335717ac",
84
  "transformers_version": "4.45.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "1.0.0",
@@ -101,7 +101,7 @@
101
  "load": {
102
  "memory": {
103
  "unit": "MB",
104
- "max_ram": 556.617728,
105
  "max_global_vram": null,
106
  "max_process_vram": null,
107
  "max_reserved": null,
@@ -110,15 +110,15 @@
110
  "latency": {
111
  "unit": "s",
112
  "values": [
113
- 17.4878548449999
114
  ],
115
  "count": 1,
116
- "total": 17.4878548449999,
117
- "mean": 17.4878548449999,
118
- "p50": 17.4878548449999,
119
- "p90": 17.4878548449999,
120
- "p95": 17.4878548449999,
121
- "p99": 17.4878548449999,
122
  "stdev": 0,
123
  "stdev_": 0
124
  },
@@ -129,7 +129,7 @@
129
  "call": {
130
  "memory": {
131
  "unit": "MB",
132
- "max_ram": 6967.803904,
133
  "max_global_vram": null,
134
  "max_process_vram": null,
135
  "max_reserved": null,
@@ -138,32 +138,32 @@
138
  "latency": {
139
  "unit": "s",
140
  "values": [
141
- 49.27988227900005
142
  ],
143
  "count": 1,
144
- "total": 49.27988227900005,
145
- "mean": 49.27988227900005,
146
- "p50": 49.27988227900005,
147
- "p90": 49.27988227900005,
148
- "p95": 49.27988227900005,
149
- "p99": 49.27988227900005,
150
  "stdev": 0,
151
  "stdev_": 0
152
  },
153
  "throughput": {
154
  "unit": "images/s",
155
- "value": 0.020292256266734962
156
  },
157
  "energy": {
158
  "unit": "kWh",
159
- "cpu": 0.0019129897043444438,
160
- "ram": 7.99683941451867e-05,
161
  "gpu": 0.0,
162
- "total": 0.0019929580984896305
163
  },
164
  "efficiency": {
165
  "unit": "images/kWh",
166
- "value": 501.76669582659724
167
  }
168
  }
169
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16766.7712,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
+ "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.5.0",
83
+ "optimum_benchmark_commit": "0876a1b3ff6de017d3dc76fabb58b5a1d2aecb9e",
84
  "transformers_version": "4.45.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "1.0.0",
 
101
  "load": {
102
  "memory": {
103
  "unit": "MB",
104
+ "max_ram": 547.528704,
105
  "max_global_vram": null,
106
  "max_process_vram": null,
107
  "max_reserved": null,
 
110
  "latency": {
111
  "unit": "s",
112
  "values": [
113
+ 14.355497323999998
114
  ],
115
  "count": 1,
116
+ "total": 14.355497323999998,
117
+ "mean": 14.355497323999998,
118
+ "p50": 14.355497323999998,
119
+ "p90": 14.355497323999998,
120
+ "p95": 14.355497323999998,
121
+ "p99": 14.355497323999998,
122
  "stdev": 0,
123
  "stdev_": 0
124
  },
 
129
  "call": {
130
  "memory": {
131
  "unit": "MB",
132
+ "max_ram": 6901.325824,
133
  "max_global_vram": null,
134
  "max_process_vram": null,
135
  "max_reserved": null,
 
138
  "latency": {
139
  "unit": "s",
140
  "values": [
141
+ 49.83199768399993
142
  ],
143
  "count": 1,
144
+ "total": 49.83199768399993,
145
+ "mean": 49.83199768399993,
146
+ "p50": 49.83199768399993,
147
+ "p90": 49.83199768399993,
148
+ "p95": 49.83199768399993,
149
+ "p99": 49.83199768399993,
150
  "stdev": 0,
151
  "stdev_": 0
152
  },
153
  "throughput": {
154
  "unit": "images/s",
155
+ "value": 0.02006742748587581
156
  },
157
  "energy": {
158
  "unit": "kWh",
159
+ "cpu": 0.001918828364600003,
160
+ "ram": 8.025758864714326e-05,
161
  "gpu": 0.0,
162
+ "total": 0.0019990859532471464
163
  },
164
  "efficiency": {
165
  "unit": "images/kWh",
166
+ "value": 500.22861617114785
167
  }
168
  }
169
  }