ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
3231
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 12:08 PM |
| 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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1568
293.4 IPS |
|
|
Image Classification (F16)
|
100% |
1629
304.8 IPS |
|
|
Image Classification (I8)
|
99% |
2694
504.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1486
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1506
25.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2558
42.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4567
5.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
4744
5.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
17411
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
1705
127.3 IPS |
|
|
Object Detection (F16)
|
100% |
1660
123.9 IPS |
|
|
Object Detection (I8)
|
62% |
1688
126.0 IPS |
|
|
Face Detection (F32)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (F16)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (I8)
|
89% |
3956
47.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5762
44.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5885
45.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
12292
95.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11793
15.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11346
14.9 IPS |
|
|
Style Transfer (I8)
|
98% |
19968
26.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2552
91.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2382
85.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4491
160.4 IPS |
|
|
Text Classification (F32)
|
100% |
1326
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1291
1.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1092
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
1864
34.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1874
34.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2641
48.6 IPS |
