| User | aguyngueran |
| Upload Date | October 07 2025 06:16 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPBSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8460
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
10101
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
6665
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12255
198.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14419
233.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9725
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
50222
58.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
221092
258.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
42981
50.4 IPS |
|
|
Object Detection (SP)
|
100% |
10580
839.2 IPS |
|
|
Object Detection (HP)
|
100% |
13041
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
8478
680.5 IPS |
|
|
Face Detection (SP)
|
100% |
24109
286.5 IPS |
|
|
Face Detection (HP)
|
100% |
31294
371.8 IPS |
|
|
Face Detection (Q)
|
97% |
16917
201.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
59533
458.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
90402
696.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34499
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
186324
239.5 IPS |
|
|
Style Transfer (HP)
|
100% |
484325
622.6 IPS |
|
|
Style Transfer (Q)
|
98% |
125070
161.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27982
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45605
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15353
568.5 IPS |
|
|
Text Classification (SP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2647
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2831
48.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1556
29.2 IPS |