ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
5320
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 07:44 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Balanced |
| 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 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 4.00 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% |
2639
493.8 IPS |
|
|
Image Classification (F16)
|
100% |
3551
664.5 IPS |
|
|
Image Classification (I8)
|
100% |
3043
569.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6033
100.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
5862
97.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4298
71.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
19027
23.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
20094
24.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
17572
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
2733
204.0 IPS |
|
|
Object Detection (F16)
|
100% |
2586
193.1 IPS |
|
|
Object Detection (I8)
|
61% |
2188
163.4 IPS |
|
|
Face Detection (F32)
|
100% |
7061
84.0 IPS |
|
|
Face Detection (F16)
|
100% |
7185
85.4 IPS |
|
|
Face Detection (I8)
|
89% |
5246
62.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16929
131.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
16583
128.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
12977
100.6 IPS |
|
|
Style Transfer (F32)
|
100% |
44596
58.7 IPS |
|
|
Style Transfer (F16)
|
100% |
44489
58.5 IPS |
|
|
Style Transfer (I8)
|
98% |
37092
48.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8207
293.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8781
313.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4905
175.2 IPS |
|
|
Text Classification (F32)
|
100% |
923
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
868
1.25 KIPS |
|
|
Text Classification (I8)
|
98% |
505
726.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1316
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1276
23.5 IPS |
|
|
Machine Translation (I8)
|
70% |
778
14.3 IPS |
