| Upload Date | October 25 2025 02:54 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PHN16S-71 |
| Motherboard | ARL FTYPE_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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3958
736.1 IPS |
|
|
Image Classification (HP)
|
100% |
4175
776.4 IPS |
|
|
Image Classification (Q)
|
100% |
8471
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6079
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10927
177.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10337
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9258
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
25455
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3818
302.9 IPS |
|
|
Object Detection (HP)
|
100% |
4212
334.1 IPS |
|
|
Object Detection (Q)
|
88% |
9174
735.4 IPS |
|
|
Face Detection (SP)
|
100% |
11856
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
13120
155.9 IPS |
|
|
Face Detection (Q)
|
100% |
23987
285.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11017
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10551
81.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
22947
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27869
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23392
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64251
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5204
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14082
521.5 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2556
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3173
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4782
82.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3039
52.3 IPS |