ASUSTeK COMPUTER INC. ASUS Zenbook A14 UX3407QA_UX3407QA
Geekbench ML Score
1754
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | February 09 2025 09:03 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook A14 UX3407QA_UX3407QA |
| Motherboard | ASUSTeK COMPUTER INC. UX3407QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-45 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1052
196.9 IPS |
|
|
Image Classification (F16)
|
100% |
1111
207.9 IPS |
|
|
Image Classification (I8)
|
100% |
816
152.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1674
28.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1672
27.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1276
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7175
8.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
7294
8.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
6150
7.45 IPS |
|
|
Object Detection (F32)
|
100% |
1066
79.6 IPS |
|
|
Object Detection (F16)
|
100% |
1053
78.6 IPS |
|
|
Object Detection (I8)
|
71% |
861
64.3 IPS |
|
|
Face Detection (F32)
|
100% |
2369
28.2 IPS |
|
|
Face Detection (F16)
|
100% |
2343
27.9 IPS |
|
|
Face Detection (I8)
|
93% |
1617
19.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4947
38.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4956
38.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
3716
28.8 IPS |
|
|
Style Transfer (F32)
|
100% |
6168
8.11 IPS |
|
|
Style Transfer (F16)
|
100% |
6230
8.19 IPS |
|
|
Style Transfer (I8)
|
98% |
5651
7.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3333
119.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3287
117.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2217
79.2 IPS |
|
|
Text Classification (F32)
|
100% |
273
392.9 IPS |
|
|
Text Classification (F16)
|
100% |
300
431.8 IPS |
|
|
Text Classification (I8)
|
98% |
204
293.2 IPS |
|
|
Machine Translation (F32)
|
100% |
793
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
789
14.5 IPS |
|
|
Machine Translation (I8)
|
48% |
439
8.08 IPS |
