| User | NAGJOZ |
| Upload Date | October 10 2024 09:05 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B49 |
| Motherboard | Micro-Star International Co., Ltd. Z370 PC PRO (MS-7B49) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.8 IPS |
|
|
Image Classification (Q)
|
100% |
1163
216.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3415
55.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3052
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
38889
45.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21504
25.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
31425
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.6 IPS |
|
|
Object Detection (HP)
|
100% |
2991
237.2 IPS |
|
|
Object Detection (Q)
|
89% |
1584
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5382
64.0 IPS |
|
|
Face Detection (Q)
|
97% |
3127
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12409
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11460
88.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
9541
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
64296
82.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39069
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49944
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12277
453.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8773
323.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7698
285.0 IPS |
|
|
Text Classification (SP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (Q)
|
97% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2217
38.3 IPS |
|
|
Machine Translation (Q)
|
60% |
994
22.2 IPS |