| User | Patrick_ServeTheHome |
| Upload Date | September 16 2025 11:12 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13494
2.51 KIPS |
|
|
Image Classification (HP)
|
100% |
20250
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
11926
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26970
437.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
32022
519.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23733
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
176617
206.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
714547
833.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
160578
188.1 IPS |
|
|
Object Detection (SP)
|
100% |
17790
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
29207
2.32 KIPS |
|
|
Object Detection (Q)
|
86% |
14991
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
53549
636.3 IPS |
|
|
Face Detection (HP)
|
100% |
77949
926.2 IPS |
|
|
Face Detection (Q)
|
97% |
43079
513.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
87522
674.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
154129
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66076
527.6 IPS |
|
|
Style Transfer (SP)
|
100% |
326896
420.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1050349
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
268815
346.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47695
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78247
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37068
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4351
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2275
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
7455
128.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7445
128.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3101
58.2 IPS |