| User | cfy0713 |
| Upload Date | October 05 2025 02:17 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Predator PHN16-73 |
| Motherboard | ARL Macan_ARX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5296
984.9 IPS |
|
|
Image Classification (HP)
|
100% |
6662
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9437
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7056
114.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3861
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12258
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33401
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
72732
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.1 IPS |
|
|
Object Detection (HP)
|
100% |
5488
435.3 IPS |
|
|
Object Detection (Q)
|
87% |
9402
754.6 IPS |
|
|
Face Detection (SP)
|
100% |
12618
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
13622
161.9 IPS |
|
|
Face Detection (Q)
|
100% |
27360
325.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11406
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14076
108.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
26669
207.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28793
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41198
53.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78095
100.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13253
489.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22257
824.3 IPS |
|
|
Text Classification (SP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1996
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4010
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4072
70.1 IPS |