ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench ML Score
3886
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2025 05:40 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 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% |
1951
365.2 IPS |
|
|
Image Classification (F16)
|
100% |
2003
374.9 IPS |
|
|
Image Classification (I8)
|
99% |
3224
603.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1733
29.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1739
29.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2956
49.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6741
8.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
6812
8.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
24923
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
1968
146.9 IPS |
|
|
Object Detection (F16)
|
100% |
1914
142.9 IPS |
|
|
Object Detection (I8)
|
62% |
1701
127.0 IPS |
|
|
Face Detection (F32)
|
100% |
4329
51.5 IPS |
|
|
Face Detection (F16)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (I8)
|
89% |
4533
53.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7247
56.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7260
56.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
14685
113.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16122
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16167
21.3 IPS |
|
|
Style Transfer (I8)
|
98% |
24386
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3151
112.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3347
119.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5279
188.5 IPS |
|
|
Text Classification (F32)
|
100% |
1187
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1178
1.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1107
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
2102
38.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2112
38.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3646
67.1 IPS |
