| User | Yegor99 | 
| Upload Date | June 20 2025 03:04 PM | 
| Views | 11 | 
| Notes | Upgrade 2 Windows 10 Pro 22H2 x64 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce GTX 1650 SUPER | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. P55-UD3R | 
| Motherboard | Gigabyte Technology Co., Ltd. P55-UD3R | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | Intel Core i7-860 | 
| Topology | 1 Processor, 4 Cores, 8 Threads | 
| Identifier | GenuineIntel Family 6 Model 30 Stepping 5 | 
| Base Frequency | 2.80 GHz | 
| Cluster 1 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
3238
 602.1 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
3261
 606.5 IPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
2718
 505.4 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
4508
 73.1 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
4184
 67.8 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
3822
 62.2 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
35030
 40.9 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
23099
 27.0 IPS  | 
|
| 
Pose Estimation (Q)
 | 
96% | 
30025
 35.2 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
3788
 300.5 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
3851
 305.5 IPS  | 
|
| 
Object Detection (Q)
 | 
83% | 
3190
 257.8 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
7747
 92.1 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
7698
 91.5 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
6587
 78.6 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
19520
 150.4 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
15802
 121.7 IPS  | 
|
| 
Depth Estimation (Q)
 | 
77% | 
14600
 117.0 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
63592
 81.7 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
44744
 57.5 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
51871
 66.9 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
11720
 432.8 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
9827
 362.9 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
7688
 284.7 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
1432
 1.91 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
1137
 1.52 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
886
 1.19 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
1890
 32.6 IPS  | 
|
| 
Machine Translation (HP)
 | 
98% | 
1865
 32.2 IPS  | 
|
| 
Machine Translation (Q)
 | 
70% | 
928
 17.4 IPS  |