| User | kazk |
| Upload Date | September 21 2025 05:37 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (64GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd ARBSC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5189
964.9 IPS |
|
|
Image Classification (HP)
|
100% |
5999
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
3737
696.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5937
96.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10480
169.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3815
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22147
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
42683
49.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17949
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
5826
462.1 IPS |
|
|
Object Detection (HP)
|
100% |
7048
559.0 IPS |
|
|
Object Detection (Q)
|
84% |
4120
332.6 IPS |
|
|
Face Detection (SP)
|
100% |
8044
95.6 IPS |
|
|
Face Detection (HP)
|
100% |
14000
166.4 IPS |
|
|
Face Detection (Q)
|
97% |
5337
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18142
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31754
244.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13468
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59818
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
102559
131.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40570
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9634
355.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17021
628.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5742
212.6 IPS |
|
|
Text Classification (SP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (Q)
|
97% |
935
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1332
25.0 IPS |