| User | rrevi |
| Upload Date | January 15 2026 04:33 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR |
| Motherboard | ASUSTeK COMPUTER INC. GU605CR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7151
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
13757
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
17342
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9112
147.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24278
393.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27542
446.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26186
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
109774
128.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
204854
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
6986
554.1 IPS |
|
|
Object Detection (HP)
|
100% |
16268
1.29 KIPS |
|
|
Object Detection (Q)
|
88% |
20206
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
13163
156.4 IPS |
|
|
Face Detection (HP)
|
100% |
31193
370.6 IPS |
|
|
Face Detection (Q)
|
100% |
41510
493.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23041
177.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54710
421.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
71300
554.2 IPS |
|
|
Style Transfer (SP)
|
100% |
66147
85.0 IPS |
|
|
Style Transfer (HP)
|
100% |
196598
252.7 IPS |
|
|
Style Transfer (Q)
|
98% |
320817
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10534
389.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37093
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46099
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4905
6.55 KIPS |
|
|
Text Classification (Q)
|
92% |
3091
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5731
99.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5911
101.8 IPS |