ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
5407
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 09:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Rovnovha |
| 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% |
3043
569.4 IPS |
|
|
Image Classification (F16)
|
100% |
2727
510.3 IPS |
|
|
Image Classification (I8)
|
100% |
2235
418.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6048
101.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5951
99.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4517
75.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
20425
24.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
20522
24.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16381
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
2803
209.3 IPS |
|
|
Object Detection (F16)
|
100% |
2737
204.3 IPS |
|
|
Object Detection (I8)
|
61% |
2424
181.0 IPS |
|
|
Face Detection (F32)
|
100% |
7911
94.1 IPS |
|
|
Face Detection (F16)
|
100% |
8042
95.6 IPS |
|
|
Face Detection (I8)
|
89% |
5539
65.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16684
129.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
18061
140.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
14110
109.4 IPS |
|
|
Style Transfer (F32)
|
100% |
49204
64.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46506
61.2 IPS |
|
|
Style Transfer (I8)
|
98% |
37157
48.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7358
262.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8463
302.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5347
191.0 IPS |
|
|
Text Classification (F32)
|
100% |
623
894.9 IPS |
|
|
Text Classification (F16)
|
100% |
1078
1.55 KIPS |
|
|
Text Classification (I8)
|
98% |
458
658.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1475
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1465
27.0 IPS |
|
|
Machine Translation (I8)
|
70% |
898
16.5 IPS |
