ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406HA_UM3406HA
Geekbench AI Score
2901
Single Precision Score
4401
Half Precision Score
1992
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Strat |
| Upload Date | September 28 2024 07:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406HA_UM3406HA |
| Motherboard | ASUSTeK COMPUTER INC. UM3406HA |
| Power Plan | Utilisation normale |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
876
163.0 IPS |
|
|
Image Classification (HP)
|
100% |
1471
273.6 IPS |
|
|
Image Classification (Q)
|
100% |
759
141.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1218
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25878
30.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34389
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25492
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (HP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (Q)
|
89% |
772
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
1323
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6110
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10562
81.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
4427
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29627
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54286
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18030
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6957
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3099
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
390
522.5 IPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
60% |
511
11.4 IPS |
