| User | SimonSu63 |
| Upload Date | November 24 2025 02:31 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3223
599.5 IPS |
|
|
Image Classification (HP)
|
100% |
2835
527.3 IPS |
|
|
Image Classification (Q)
|
99% |
2756
514.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5381
87.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4461
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26114
30.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15903
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23074
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3731
295.9 IPS |
|
|
Object Detection (HP)
|
100% |
3375
267.7 IPS |
|
|
Object Detection (Q)
|
83% |
3185
257.3 IPS |
|
|
Face Detection (SP)
|
100% |
8583
102.0 IPS |
|
|
Face Detection (HP)
|
100% |
6734
80.0 IPS |
|
|
Face Detection (Q)
|
97% |
7313
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16678
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11871
91.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12914
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47088
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31451
40.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40858
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10432
385.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7931
292.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7158
265.0 IPS |
|
|
Text Classification (SP)
|
100% |
1802
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1005
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3207
55.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1268
23.8 IPS |