| User | tocomcc |
| Upload Date | October 14 2025 09:44 PM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 DRFXL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10740
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
17968
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
9842
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22477
364.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34555
560.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20372
331.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
169904
198.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
492960
575.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
145531
170.5 IPS |
|
|
Object Detection (SP)
|
100% |
15058
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
24592
1.95 KIPS |
|
|
Object Detection (Q)
|
83% |
12898
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
42916
509.9 IPS |
|
|
Face Detection (HP)
|
100% |
65298
775.9 IPS |
|
|
Face Detection (Q)
|
97% |
36710
437.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
69830
538.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
135299
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55404
442.2 IPS |
|
|
Style Transfer (SP)
|
100% |
233522
300.2 IPS |
|
|
Style Transfer (HP)
|
100% |
794398
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
200523
258.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40568
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73162
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32401
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2180
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
6567
113.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6863
118.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2944
55.2 IPS |