ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench ML Score
2005
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | fthiess |
| Upload Date | August 16 2024 07:27 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% |
1017
190.3 IPS |
|
|
Image Classification (F16)
|
100% |
992
185.7 IPS |
|
|
Image Classification (I8)
|
99% |
1558
291.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1421
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4199
5.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
4158
5.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
16481
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
850
63.5 IPS |
|
|
Object Detection (F16)
|
100% |
837
62.5 IPS |
|
|
Object Detection (I8)
|
62% |
857
64.0 IPS |
|
|
Face Detection (F32)
|
100% |
2823
33.6 IPS |
|
|
Face Detection (F16)
|
100% |
2788
33.2 IPS |
|
|
Face Detection (I8)
|
89% |
2787
33.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4352
33.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4274
33.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
7690
59.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10755
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10204
13.4 IPS |
|
|
Style Transfer (I8)
|
98% |
14776
19.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1674
59.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1539
55.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2544
90.8 IPS |
|
|
Text Classification (F32)
|
100% |
637
916.0 IPS |
|
|
Text Classification (F16)
|
100% |
618
887.6 IPS |
|
|
Text Classification (I8)
|
98% |
258
370.7 IPS |
|
|
Machine Translation (F32)
|
100% |
906
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
892
16.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1634
30.1 IPS |
