ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
1917
Single Precision Score
1843
Half Precision Score
4221
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Bassel123 |
| Upload Date | May 27 2025 08:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
822
152.8 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.8 IPS |
|
|
Image Classification (Q)
|
100% |
3124
581.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2315
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3172
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3637
4.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
10980
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
100% |
954
75.6 IPS |
|
|
Object Detection (Q)
|
88% |
2193
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (Q)
|
100% |
4512
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2940
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3204
24.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
7693
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7873
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8288
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28432
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4173
154.5 IPS |
|
|
Text Classification (SP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1740
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1442
24.8 IPS |
