| User | Patrick_ServeTheHome |
| Upload Date | September 03 2025 09:33 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 |
| 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% |
3923
729.6 IPS |
|
|
Image Classification (HP)
|
99% |
8588
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
3308
617.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6838
110.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11651
188.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5351
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
34240
40.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
120858
141.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29791
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
4787
379.7 IPS |
|
|
Object Detection (HP)
|
100% |
10491
832.2 IPS |
|
|
Object Detection (Q)
|
84% |
3909
315.2 IPS |
|
|
Face Detection (SP)
|
100% |
10685
127.0 IPS |
|
|
Face Detection (HP)
|
100% |
19453
231.1 IPS |
|
|
Face Detection (Q)
|
97% |
8522
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20224
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50212
386.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15334
122.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66720
85.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164634
211.6 IPS |
|
|
Style Transfer (Q)
|
98% |
52467
67.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15525
573.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28810
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8449
312.9 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1230
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1321
24.8 IPS |