| User | Den66rus |
| Upload Date | September 15 2024 03:52 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
3662
683.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
2647
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
21526
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
88% |
2083
166.9 IPS |
|
|
Face Detection (SP)
|
100% |
4093
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
97% |
4307
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7289
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
985
7.59 IPS |
|
|
Depth Estimation (Q)
|
76% |
9334
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15665
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10063
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24152
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2837
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4555
168.7 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
658
878.1 IPS |
|
|
Text Classification (Q)
|
97% |
533
714.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2209
49.3 IPS |