ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
3446
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 09:16 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1740
325.6 IPS |
|
|
Image Classification (F16)
|
100% |
1784
333.8 IPS |
|
|
Image Classification (I8)
|
99% |
3299
617.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1586
26.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1598
26.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2614
43.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5060
6.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
5033
6.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
17648
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1808
135.0 IPS |
|
|
Object Detection (F16)
|
100% |
1755
131.0 IPS |
|
|
Object Detection (I8)
|
62% |
1731
129.3 IPS |
|
|
Face Detection (F32)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (F16)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (I8)
|
89% |
4480
53.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6129
47.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6260
48.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12799
99.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12390
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12400
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
20383
26.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2706
96.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2642
94.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4277
152.7 IPS |
|
|
Text Classification (F32)
|
100% |
1314
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1274
1.83 KIPS |
|
|
Text Classification (I8)
|
98% |
1166
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2027
37.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2026
37.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2842
52.3 IPS |
