ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406HA_UM3406HA
Geekbench AI Score
6950
Single Precision Score
8994
Half Precision Score
5135
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | aferreiro77 |
| Upload Date | August 04 2025 03:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406HA_UM3406HA |
| Motherboard | ASUSTeK COMPUTER INC. UM3406HA |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2460
457.5 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.6 IPS |
|
|
Image Classification (Q)
|
100% |
2241
416.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4126
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3948
64.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3377
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35282
41.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
57541
67.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
27755
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
3283
260.4 IPS |
|
|
Object Detection (Q)
|
87% |
2185
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
6437
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
10121
120.3 IPS |
|
|
Face Detection (Q)
|
97% |
5359
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15163
116.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20115
155.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11331
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58735
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
86854
111.7 IPS |
|
|
Style Transfer (Q)
|
98% |
44692
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10796
398.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14494
535.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6967
258.0 IPS |
|
|
Text Classification (SP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1398
26.2 IPS |
