Upload cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch/benchmark.json with huggingface_hub
Browse files
cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch/benchmark.json
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"model": "hf-internal-testing/tiny-stable-diffusion-torch",
|
9 |
"processor": "hf-internal-testing/tiny-stable-diffusion-torch",
|
@@ -25,6 +25,7 @@
|
|
25 |
"low_cpu_mem_usage": null,
|
26 |
"attn_implementation": null,
|
27 |
"cache_implementation": null,
|
|
|
28 |
"autocast_enabled": false,
|
29 |
"autocast_dtype": null,
|
30 |
"torch_compile": false,
|
@@ -73,23 +74,23 @@
|
|
73 |
"environment": {
|
74 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
75 |
"cpu_count": 4,
|
76 |
-
"cpu_ram_mb": 16766.
|
77 |
"system": "Linux",
|
78 |
"machine": "x86_64",
|
79 |
-
"platform": "Linux-6.
|
80 |
"processor": "x86_64",
|
81 |
-
"python_version": "3.10.
|
82 |
"optimum_benchmark_version": "0.6.0.dev0",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
-
"transformers_version": "4.
|
85 |
"transformers_commit": null,
|
86 |
-
"accelerate_version": "1.
|
87 |
"accelerate_commit": null,
|
88 |
-
"diffusers_version": "0.
|
89 |
"diffusers_commit": null,
|
90 |
"optimum_version": null,
|
91 |
"optimum_commit": null,
|
92 |
-
"timm_version": "1.0.
|
93 |
"timm_commit": null,
|
94 |
"peft_version": null,
|
95 |
"peft_commit": null
|
@@ -101,7 +102,7 @@
|
|
101 |
"load_model": {
|
102 |
"memory": {
|
103 |
"unit": "MB",
|
104 |
-
"max_ram":
|
105 |
"max_global_vram": null,
|
106 |
"max_process_vram": null,
|
107 |
"max_reserved": null,
|
@@ -110,32 +111,66 @@
|
|
110 |
"latency": {
|
111 |
"unit": "s",
|
112 |
"values": [
|
113 |
-
|
114 |
],
|
115 |
"count": 1,
|
116 |
-
"total":
|
117 |
-
"mean":
|
118 |
-
"p50":
|
119 |
-
"p90":
|
120 |
-
"p95":
|
121 |
-
"p99":
|
122 |
"stdev": 0,
|
123 |
"stdev_": 0
|
124 |
},
|
125 |
"throughput": null,
|
126 |
"energy": {
|
127 |
"unit": "kWh",
|
128 |
-
"cpu": 0.
|
129 |
-
"ram":
|
130 |
"gpu": 0,
|
131 |
-
"total": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
132 |
},
|
133 |
"efficiency": null
|
134 |
},
|
135 |
"call": {
|
136 |
"memory": {
|
137 |
"unit": "MB",
|
138 |
-
"max_ram":
|
139 |
"max_global_vram": null,
|
140 |
"max_process_vram": null,
|
141 |
"max_reserved": null,
|
@@ -144,32 +179,32 @@
|
|
144 |
"latency": {
|
145 |
"unit": "s",
|
146 |
"values": [
|
147 |
-
1.
|
148 |
],
|
149 |
"count": 1,
|
150 |
-
"total": 1.
|
151 |
-
"mean": 1.
|
152 |
-
"p50": 1.
|
153 |
-
"p90": 1.
|
154 |
-
"p95": 1.
|
155 |
-
"p99": 1.
|
156 |
"stdev": 0,
|
157 |
"stdev_": 0
|
158 |
},
|
159 |
"throughput": {
|
160 |
"unit": "images/s",
|
161 |
-
"value": 1.
|
162 |
},
|
163 |
"energy": {
|
164 |
"unit": "kWh",
|
165 |
-
"cpu":
|
166 |
-
"ram":
|
167 |
"gpu": 0.0,
|
168 |
-
"total":
|
169 |
},
|
170 |
"efficiency": {
|
171 |
"unit": "images/kWh",
|
172 |
-
"value":
|
173 |
}
|
174 |
},
|
175 |
"per_step": {
|
@@ -177,18 +212,18 @@
|
|
177 |
"latency": {
|
178 |
"unit": "s",
|
179 |
"values": [
|
180 |
-
0.
|
181 |
-
0.
|
182 |
],
|
183 |
"count": 2,
|
184 |
-
"total": 0.
|
185 |
-
"mean": 0.
|
186 |
-
"p50": 0.
|
187 |
-
"p90": 0.
|
188 |
-
"p95": 0.
|
189 |
-
"p99": 0.
|
190 |
-
"stdev": 0.
|
191 |
-
"stdev_": 0.
|
192 |
},
|
193 |
"throughput": null,
|
194 |
"energy": null,
|
|
|
3 |
"name": "cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.7.0+cpu",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"model": "hf-internal-testing/tiny-stable-diffusion-torch",
|
9 |
"processor": "hf-internal-testing/tiny-stable-diffusion-torch",
|
|
|
25 |
"low_cpu_mem_usage": null,
|
26 |
"attn_implementation": null,
|
27 |
"cache_implementation": null,
|
28 |
+
"allow_tf32": false,
|
29 |
"autocast_enabled": false,
|
30 |
"autocast_dtype": null,
|
31 |
"torch_compile": false,
|
|
|
74 |
"environment": {
|
75 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
76 |
"cpu_count": 4,
|
77 |
+
"cpu_ram_mb": 16766.410752,
|
78 |
"system": "Linux",
|
79 |
"machine": "x86_64",
|
80 |
+
"platform": "Linux-6.11.0-1012-azure-x86_64-with-glibc2.39",
|
81 |
"processor": "x86_64",
|
82 |
+
"python_version": "3.10.17",
|
83 |
"optimum_benchmark_version": "0.6.0.dev0",
|
84 |
+
"optimum_benchmark_commit": "78d6fd7c05e4903fc03580f46bd45ef32863e57b",
|
85 |
+
"transformers_version": "4.51.3",
|
86 |
"transformers_commit": null,
|
87 |
+
"accelerate_version": "1.6.0",
|
88 |
"accelerate_commit": null,
|
89 |
+
"diffusers_version": "0.33.1",
|
90 |
"diffusers_commit": null,
|
91 |
"optimum_version": null,
|
92 |
"optimum_commit": null,
|
93 |
+
"timm_version": "1.0.15",
|
94 |
"timm_commit": null,
|
95 |
"peft_version": null,
|
96 |
"peft_commit": null
|
|
|
102 |
"load_model": {
|
103 |
"memory": {
|
104 |
"unit": "MB",
|
105 |
+
"max_ram": 489.90208,
|
106 |
"max_global_vram": null,
|
107 |
"max_process_vram": null,
|
108 |
"max_reserved": null,
|
|
|
111 |
"latency": {
|
112 |
"unit": "s",
|
113 |
"values": [
|
114 |
+
0.6115925789999892
|
115 |
],
|
116 |
"count": 1,
|
117 |
+
"total": 0.6115925789999892,
|
118 |
+
"mean": 0.6115925789999892,
|
119 |
+
"p50": 0.6115925789999892,
|
120 |
+
"p90": 0.6115925789999892,
|
121 |
+
"p95": 0.6115925789999892,
|
122 |
+
"p99": 0.6115925789999892,
|
123 |
"stdev": 0,
|
124 |
"stdev_": 0
|
125 |
},
|
126 |
"throughput": null,
|
127 |
"energy": {
|
128 |
"unit": "kWh",
|
129 |
+
"cpu": 0.00010639622588517244,
|
130 |
+
"ram": 1.4329550830555604e-05,
|
131 |
"gpu": 0,
|
132 |
+
"total": 0.00012072577671572805
|
133 |
+
},
|
134 |
+
"efficiency": null
|
135 |
+
},
|
136 |
+
"first_call": {
|
137 |
+
"memory": {
|
138 |
+
"unit": "MB",
|
139 |
+
"max_ram": 578.371584,
|
140 |
+
"max_global_vram": null,
|
141 |
+
"max_process_vram": null,
|
142 |
+
"max_reserved": null,
|
143 |
+
"max_allocated": null
|
144 |
+
},
|
145 |
+
"latency": {
|
146 |
+
"unit": "s",
|
147 |
+
"values": [
|
148 |
+
1.3962514140000053
|
149 |
+
],
|
150 |
+
"count": 1,
|
151 |
+
"total": 1.3962514140000053,
|
152 |
+
"mean": 1.3962514140000053,
|
153 |
+
"p50": 1.3962514140000053,
|
154 |
+
"p90": 1.3962514140000053,
|
155 |
+
"p95": 1.3962514140000053,
|
156 |
+
"p99": 1.3962514140000053,
|
157 |
+
"stdev": 0,
|
158 |
+
"stdev_": 0
|
159 |
+
},
|
160 |
+
"throughput": null,
|
161 |
+
"energy": {
|
162 |
+
"unit": "kWh",
|
163 |
+
"cpu": 0.00013782902939761725,
|
164 |
+
"ram": 1.6380328886111157e-05,
|
165 |
+
"gpu": 0,
|
166 |
+
"total": 0.0001542093582837284
|
167 |
},
|
168 |
"efficiency": null
|
169 |
},
|
170 |
"call": {
|
171 |
"memory": {
|
172 |
"unit": "MB",
|
173 |
+
"max_ram": 584.531968,
|
174 |
"max_global_vram": null,
|
175 |
"max_process_vram": null,
|
176 |
"max_reserved": null,
|
|
|
179 |
"latency": {
|
180 |
"unit": "s",
|
181 |
"values": [
|
182 |
+
1.3451378820000173
|
183 |
],
|
184 |
"count": 1,
|
185 |
+
"total": 1.3451378820000173,
|
186 |
+
"mean": 1.3451378820000173,
|
187 |
+
"p50": 1.3451378820000173,
|
188 |
+
"p90": 1.3451378820000173,
|
189 |
+
"p95": 1.3451378820000173,
|
190 |
+
"p99": 1.3451378820000173,
|
191 |
"stdev": 0,
|
192 |
"stdev_": 0
|
193 |
},
|
194 |
"throughput": {
|
195 |
"unit": "images/s",
|
196 |
+
"value": 1.486836425293667
|
197 |
},
|
198 |
"energy": {
|
199 |
"unit": "kWh",
|
200 |
+
"cpu": 4.485796616769986e-05,
|
201 |
+
"ram": 5.313047863888994e-06,
|
202 |
"gpu": 0.0,
|
203 |
+
"total": 5.0171014031588884e-05
|
204 |
},
|
205 |
"efficiency": {
|
206 |
"unit": "images/kWh",
|
207 |
+
"value": 39863.65511250683
|
208 |
}
|
209 |
},
|
210 |
"per_step": {
|
|
|
212 |
"latency": {
|
213 |
"unit": "s",
|
214 |
"values": [
|
215 |
+
0.398549413000012,
|
216 |
+
0.39337494999995215
|
217 |
],
|
218 |
"count": 2,
|
219 |
+
"total": 0.7919243629999642,
|
220 |
+
"mean": 0.3959621814999821,
|
221 |
+
"p50": 0.3959621814999821,
|
222 |
+
"p90": 0.398031966700006,
|
223 |
+
"p95": 0.39829068985000904,
|
224 |
+
"p99": 0.39849766837001144,
|
225 |
+
"stdev": 0.0025872315000299295,
|
226 |
+
"stdev_": 0.6534036887636571
|
227 |
},
|
228 |
"throughput": null,
|
229 |
"energy": null,
|