| User | Yegor99 |
| Upload Date | June 20 2025 03:04 PM |
| Views | 13 |
| 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 |