ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
5703
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 07 2024 10:05 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% |
2734
511.7 IPS |
|
|
Image Classification (F16)
|
100% |
2710
507.2 IPS |
|
|
Image Classification (I8)
|
100% |
2360
441.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5915
98.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
5994
100.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4565
76.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
20145
24.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
19998
24.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
16223
19.6 IPS |
|
|
Object Detection (F32)
|
100% |
3091
230.8 IPS |
|
|
Object Detection (F16)
|
100% |
2989
223.2 IPS |
|
|
Object Detection (I8)
|
61% |
2499
186.5 IPS |
|
|
Face Detection (F32)
|
100% |
7605
90.4 IPS |
|
|
Face Detection (F16)
|
100% |
7762
92.3 IPS |
|
|
Face Detection (I8)
|
89% |
5425
64.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
19294
149.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17476
135.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
13540
105.0 IPS |
|
|
Style Transfer (F32)
|
100% |
45624
60.0 IPS |
|
|
Style Transfer (F16)
|
100% |
46397
61.0 IPS |
|
|
Style Transfer (I8)
|
98% |
39658
52.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7348
262.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8036
287.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4892
174.7 IPS |
|
|
Text Classification (F32)
|
100% |
928
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
957
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
476
683.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2550
46.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2462
45.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1204
22.2 IPS |
