| User | 15a |
| Upload Date | May 21 2025 03:36 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | Balanced |
| 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% |
10078
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
13929
2.60 KIPS |
|
|
Image Classification (Q)
|
100% |
6704
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18831
305.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27334
443.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13052
212.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
173888
202.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
369670
431.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
129114
151.3 IPS |
|
|
Object Detection (SP)
|
100% |
13221
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
18425
1.46 KIPS |
|
|
Object Detection (Q)
|
85% |
8783
706.5 IPS |
|
|
Face Detection (SP)
|
100% |
35706
424.3 IPS |
|
|
Face Detection (HP)
|
100% |
51907
616.8 IPS |
|
|
Face Detection (Q)
|
97% |
22939
273.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
65040
501.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107647
829.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
37486
300.2 IPS |
|
|
Style Transfer (SP)
|
100% |
276220
355.1 IPS |
|
|
Style Transfer (HP)
|
100% |
649695
835.2 IPS |
|
|
Style Transfer (Q)
|
98% |
194830
251.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39857
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55815
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22410
829.8 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
3626
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1452
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5083
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1604
30.1 IPS |