| User | rrevi |
| Upload Date | January 16 2026 01:23 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core 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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (Q)
|
99% |
1438
268.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1480
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3242
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
4873
5.71 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.4 IPS |
|
|
Object Detection (HP)
|
100% |
2148
170.4 IPS |
|
|
Object Detection (Q)
|
85% |
1453
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
3788
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
3788
45.0 IPS |
|
|
Face Detection (Q)
|
97% |
2962
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3231
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3238
24.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2606
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4148
5.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4140
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
7898
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2407
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2141
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1164
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
737
990.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2688
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (Q)
|
58% |
679
15.9 IPS |