ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA_N0085242B
Geekbench AI Score
4135
Single Precision Score
8758
Half Precision Score
13152
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 09:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA_N0085242B |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
6002
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7689
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3342
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2623
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3507
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6133
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
33256
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
70851
83.0 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
5522
438.0 IPS |
|
|
Object Detection (Q)
|
87% |
8443
677.6 IPS |
|
|
Face Detection (SP)
|
100% |
7020
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
14030
166.7 IPS |
|
|
Face Detection (Q)
|
100% |
23172
275.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6738
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17800
137.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
33262
258.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18983
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51350
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92315
119.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3146
116.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13255
489.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22691
840.3 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1920
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
2082
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2856
49.2 IPS |
