ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
3260
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 07 2024 09:57 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1769
331.0 IPS |
|
|
Image Classification (F16)
|
100% |
1696
317.3 IPS |
|
|
Image Classification (I8)
|
99% |
3155
590.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1585
26.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1599
26.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2611
43.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5012
6.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
4816
5.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
18092
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1702
127.1 IPS |
|
|
Object Detection (F16)
|
100% |
1758
131.3 IPS |
|
|
Object Detection (I8)
|
62% |
1701
127.0 IPS |
|
|
Face Detection (F32)
|
100% |
4070
48.4 IPS |
|
|
Face Detection (F16)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (I8)
|
89% |
3415
40.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5735
44.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5379
41.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
12752
98.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7455
9.81 IPS |
|
|
Style Transfer (F16)
|
100% |
9614
12.6 IPS |
|
|
Style Transfer (I8)
|
98% |
20464
26.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2428
86.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2435
87.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4519
161.4 IPS |
|
|
Text Classification (F32)
|
100% |
1308
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1309
1.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1175
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1921
35.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1932
35.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2818
51.8 IPS |
