ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
5768
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 07 2024 10:34 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2666
499.0 IPS |
|
|
Image Classification (F16)
|
100% |
2647
495.4 IPS |
|
|
Image Classification (I8)
|
100% |
2343
438.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6030
100.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
6142
102.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4627
77.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
20025
24.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
20595
24.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
18015
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
3204
239.2 IPS |
|
|
Object Detection (F16)
|
100% |
3047
227.5 IPS |
|
|
Object Detection (I8)
|
61% |
2476
184.8 IPS |
|
|
Face Detection (F32)
|
100% |
7277
86.5 IPS |
|
|
Face Detection (F16)
|
100% |
7806
92.8 IPS |
|
|
Face Detection (I8)
|
89% |
5611
66.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
17162
133.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
18459
143.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
14050
109.0 IPS |
|
|
Style Transfer (F32)
|
100% |
45035
59.2 IPS |
|
|
Style Transfer (F16)
|
100% |
48210
63.4 IPS |
|
|
Style Transfer (I8)
|
98% |
40025
52.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9148
326.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7567
270.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4490
160.3 IPS |
|
|
Text Classification (F32)
|
100% |
864
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1049
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
545
783.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2615
48.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2621
48.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1030
19.0 IPS |
