ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench ML Score
3031
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | January 04 2025 04:19 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 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% |
1404
262.7 IPS |
|
|
Image Classification (F16)
|
100% |
1387
259.5 IPS |
|
|
Image Classification (I8)
|
99% |
2558
478.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1296
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1188
19.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2727
45.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5610
6.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
5666
6.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
19857
24.0 IPS |
|
|
Object Detection (F32)
|
100% |
1489
111.2 IPS |
|
|
Object Detection (F16)
|
100% |
1525
113.9 IPS |
|
|
Object Detection (I8)
|
62% |
1382
103.2 IPS |
|
|
Face Detection (F32)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (F16)
|
100% |
3579
42.6 IPS |
|
|
Face Detection (I8)
|
89% |
3691
43.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6142
47.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5809
45.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11155
86.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14115
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
14043
18.5 IPS |
|
|
Style Transfer (I8)
|
98% |
17816
23.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2290
81.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2224
79.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3821
136.5 IPS |
|
|
Text Classification (F32)
|
100% |
912
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
962
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
913
1.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1544
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2724
50.1 IPS |
