| User | bazookadud |
| Upload Date | October 01 2025 07:59 PM |
| Views | 6 |
| Notes | AI SLOP |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B48 |
| Motherboard | Micro-Star International Co., Ltd. Z370-A PRO (MS-7B48) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6229
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
9674
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
4642
865.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10338
167.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14554
235.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8249
134.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
79770
93.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
228078
266.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
64604
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
7766
616.0 IPS |
|
|
Object Detection (HP)
|
100% |
12312
976.6 IPS |
|
|
Object Detection (Q)
|
84% |
5955
480.3 IPS |
|
|
Face Detection (SP)
|
100% |
18136
215.5 IPS |
|
|
Face Detection (HP)
|
100% |
28431
337.8 IPS |
|
|
Face Detection (Q)
|
97% |
14215
169.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38482
296.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67957
523.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
25577
204.9 IPS |
|
|
Style Transfer (SP)
|
100% |
143096
184.0 IPS |
|
|
Style Transfer (HP)
|
100% |
324657
417.4 IPS |
|
|
Style Transfer (Q)
|
98% |
113354
146.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25045
924.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37113
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14628
541.7 IPS |
|
|
Text Classification (SP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
2710
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3479
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1385
26.0 IPS |