| User | rrevi |
| Upload Date | January 16 2026 01:31 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR |
| Motherboard | ASUSTeK COMPUTER INC. GU605CR |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.78 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3488
648.6 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.6 IPS |
|
|
Image Classification (Q)
|
100% |
9435
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3774
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7769
125.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5096
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3689
4.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
20339
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
3253
258.0 IPS |
|
|
Object Detection (HP)
|
100% |
2517
199.6 IPS |
|
|
Object Detection (Q)
|
88% |
9862
790.5 IPS |
|
|
Face Detection (SP)
|
100% |
8024
95.3 IPS |
|
|
Face Detection (HP)
|
100% |
7256
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
21408
254.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7073
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5462
42.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
25010
194.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15619
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10862
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
61871
79.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3929
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2477
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14320
530.3 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (Q)
|
92% |
6273
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5543
95.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5127
88.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5518
95.1 IPS |