ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench ML Score
2398
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | fthiess |
| Upload Date | August 16 2024 07:25 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1059
198.2 IPS |
|
|
Image Classification (F16)
|
100% |
1035
193.7 IPS |
|
|
Image Classification (I8)
|
100% |
957
179.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1363
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1325
22.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1093
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
11583
14.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
11803
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
10560
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
946
70.6 IPS |
|
|
Object Detection (F16)
|
100% |
935
69.8 IPS |
|
|
Object Detection (I8)
|
54% |
843
62.9 IPS |
|
|
Face Detection (F32)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (F16)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (I8)
|
89% |
1196
14.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6548
50.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6646
51.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
5102
39.6 IPS |
|
|
Style Transfer (F32)
|
100% |
35936
47.3 IPS |
|
|
Style Transfer (F16)
|
100% |
36894
48.5 IPS |
|
|
Style Transfer (I8)
|
98% |
25079
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5929
211.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5778
206.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4145
148.0 IPS |
|
|
Text Classification (F32)
|
90% |
420
602.9 IPS |
|
|
Text Classification (F16)
|
90% |
436
626.7 IPS |
|
|
Text Classification (I8)
|
90% |
357
512.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1169
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
996
18.3 IPS |
|
|
Machine Translation (I8)
|
70% |
718
13.2 IPS |
