ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
3331
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 07:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| 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% |
1664
311.4 IPS |
|
|
Image Classification (F16)
|
100% |
1713
320.5 IPS |
|
|
Image Classification (I8)
|
99% |
3176
594.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1553
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1508
25.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2503
41.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4852
5.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
4761
5.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
17120
20.7 IPS |
|
|
Object Detection (F32)
|
100% |
1664
124.3 IPS |
|
|
Object Detection (F16)
|
100% |
1628
121.6 IPS |
|
|
Object Detection (I8)
|
62% |
1685
125.8 IPS |
|
|
Face Detection (F32)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (F16)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (I8)
|
89% |
4382
52.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5904
45.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5745
44.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
13053
101.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11713
15.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12056
15.9 IPS |
|
|
Style Transfer (I8)
|
98% |
20716
27.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2567
91.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2607
93.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4648
166.0 IPS |
|
|
Text Classification (F32)
|
100% |
1308
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1289
1.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1128
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1992
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1887
34.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2696
49.6 IPS |
