ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
10688
Single Precision Score
22914
Half Precision Score
30564
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Louse |
| Upload Date | August 02 2025 01:19 AM |
| Views | 8 |
System Information
| 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. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6421
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
10962
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
17138
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9161
148.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19225
311.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26555
430.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26306
30.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
104325
121.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
192979
225.9 IPS |
|
|
Object Detection (SP)
|
100% |
6933
549.9 IPS |
|
|
Object Detection (HP)
|
100% |
12186
966.6 IPS |
|
|
Object Detection (Q)
|
88% |
18261
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
12869
152.9 IPS |
|
|
Face Detection (HP)
|
100% |
25632
304.6 IPS |
|
|
Face Detection (Q)
|
100% |
40381
479.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23062
177.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45318
349.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
66963
520.5 IPS |
|
|
Style Transfer (SP)
|
100% |
63332
81.4 IPS |
|
|
Style Transfer (HP)
|
100% |
170694
219.4 IPS |
|
|
Style Transfer (Q)
|
98% |
263740
340.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10559
389.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31429
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37578
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4189
5.59 KIPS |
|
|
Text Classification (Q)
|
92% |
2840
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5707
98.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5829
100.4 IPS |
