| Upload Date | November 12 2025 07:04 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G615LW_G615LW |
| Motherboard | ASUSTeK COMPUTER INC. G615LW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5492
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
707
131.5 IPS |
|
|
Image Classification (Q)
|
99% |
9055
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1539
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16493
268.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15053
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7945
9.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
44226
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
4652
369.0 IPS |
|
|
Object Detection (HP)
|
100% |
1134
89.9 IPS |
|
|
Object Detection (Q)
|
86% |
10837
870.9 IPS |
|
|
Face Detection (SP)
|
100% |
14104
167.6 IPS |
|
|
Face Detection (HP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
12976
154.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14978
115.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2886
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
24477
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32054
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19444
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22219
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3568
131.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5934
219.7 IPS |
|
|
Text Classification (SP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3862
77.6 IPS |