ASUSTeK COMPUTER INC. ASUS Zenbook A14 UX3407QA_UX3407QA
Geekbench ML Score
2477
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | February 01 2025 06:45 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook A14 UX3407QA_UX3407QA |
| Motherboard | ASUSTeK COMPUTER INC. UX3407QA |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
595
111.4 IPS |
|
|
Image Classification (F16)
|
100% |
607
113.6 IPS |
|
|
Image Classification (I8)
|
99% |
3615
676.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
701
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
711
11.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1962
32.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4062
4.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
3966
4.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
15998
19.4 IPS |
|
|
Object Detection (F32)
|
100% |
783
58.4 IPS |
|
|
Object Detection (F16)
|
100% |
778
58.1 IPS |
|
|
Object Detection (I8)
|
65% |
3147
234.9 IPS |
|
|
Face Detection (F32)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (F16)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (I8)
|
89% |
6107
72.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2183
16.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2192
17.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
12391
96.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9723
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10022
13.2 IPS |
|
|
Style Transfer (I8)
|
98% |
27830
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1988
71.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1969
70.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3487
124.5 IPS |
|
|
Text Classification (F32)
|
100% |
1391
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1398
2.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1059
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1985
36.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1983
36.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3246
59.7 IPS |
