ASUSTeK COMPUTER INC. Zenbook UX8402VV_UX8402VV
Geekbench AI Score
4051
Single Precision Score
5398
Half Precision Score
8002
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | datalifenyc |
| Upload Date | January 03 2026 05:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Zenbook UX8402VV_UX8402VV |
| Motherboard | ASUSTeK COMPUTER INC. UX8402VV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2504
465.7 IPS |
|
|
Image Classification (HP)
|
100% |
3691
686.4 IPS |
|
|
Image Classification (Q)
|
99% |
5095
950.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6745
109.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8771
142.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10234
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
7635
8.91 IPS |
|
|
Pose Estimation (Q)
|
97% |
31123
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
3440
272.9 IPS |
|
|
Object Detection (Q)
|
90% |
5272
421.5 IPS |
|
|
Face Detection (SP)
|
100% |
6168
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
8974
106.6 IPS |
|
|
Face Detection (Q)
|
100% |
12296
146.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13122
101.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
16187
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26476
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33993
43.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68052
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5452
201.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8793
325.6 IPS |
|
|
Text Classification (SP)
|
71% |
781
1.13 KIPS |
|
|
Text Classification (HP)
|
71% |
1070
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
920
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1377
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1341
23.2 IPS |
