ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench ML Score
2062
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | fthiess |
| Upload Date | August 31 2024 08:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 22 |
| L1 Data Cache | 32.0 KB x 22 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1044
195.3 IPS |
|
|
Image Classification (F16)
|
100% |
1035
193.7 IPS |
|
|
Image Classification (I8)
|
99% |
1744
326.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
889
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
965
16.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1750
29.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4070
4.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
4451
5.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
13558
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
868
64.8 IPS |
|
|
Object Detection (F16)
|
100% |
820
61.2 IPS |
|
|
Object Detection (I8)
|
62% |
844
63.0 IPS |
|
|
Face Detection (F32)
|
100% |
2680
31.9 IPS |
|
|
Face Detection (F16)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (I8)
|
89% |
2756
32.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4073
31.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4599
35.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
7885
61.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10186
13.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10712
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
15561
20.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1822
65.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1894
67.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2809
100.3 IPS |
|
|
Text Classification (F32)
|
100% |
558
802.2 IPS |
|
|
Text Classification (F16)
|
100% |
632
908.5 IPS |
|
|
Text Classification (I8)
|
98% |
247
355.0 IPS |
|
|
Machine Translation (F32)
|
100% |
937
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
901
16.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1728
31.8 IPS |
