ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
3308
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 07:41 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Balanced |
| 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 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 4.00 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% |
1542
288.6 IPS |
|
|
Image Classification (F16)
|
100% |
1682
314.7 IPS |
|
|
Image Classification (I8)
|
99% |
3260
610.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1438
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1398
23.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2347
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4656
5.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
4863
5.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
17940
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1720
128.4 IPS |
|
|
Object Detection (F16)
|
100% |
1751
130.7 IPS |
|
|
Object Detection (I8)
|
62% |
1714
127.9 IPS |
|
|
Face Detection (F32)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (F16)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (I8)
|
89% |
4239
50.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6226
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5652
43.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
13053
101.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11473
15.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10718
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
21294
28.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2678
95.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2667
95.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4772
170.4 IPS |
|
|
Text Classification (F32)
|
100% |
1335
1.92 KIPS |
|
|
Text Classification (F16)
|
100% |
1271
1.83 KIPS |
|
|
Text Classification (I8)
|
98% |
1180
1.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
1925
35.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1932
35.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2666
49.1 IPS |
