ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench ML Score
5755
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2025 05:47 AM |
| Views | 6 |
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 | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3782
707.7 IPS |
|
|
Image Classification (F16)
|
100% |
3848
720.1 IPS |
|
|
Image Classification (I8)
|
99% |
3030
566.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3517
58.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3577
59.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2759
46.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
25893
31.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
26051
31.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
20752
25.1 IPS |
|
|
Object Detection (F32)
|
100% |
3586
267.7 IPS |
|
|
Object Detection (F16)
|
100% |
3414
254.9 IPS |
|
|
Object Detection (I8)
|
60% |
2665
198.9 IPS |
|
|
Face Detection (F32)
|
100% |
6564
78.1 IPS |
|
|
Face Detection (F16)
|
100% |
6737
80.1 IPS |
|
|
Face Detection (I8)
|
88% |
4400
52.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16450
127.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
16670
129.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
12471
96.7 IPS |
|
|
Style Transfer (F32)
|
100% |
58477
76.9 IPS |
|
|
Style Transfer (F16)
|
100% |
59176
77.8 IPS |
|
|
Style Transfer (I8)
|
98% |
43102
56.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9379
335.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9286
331.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6324
225.9 IPS |
|
|
Text Classification (F32)
|
90% |
770
1.11 KIPS |
|
|
Text Classification (F16)
|
90% |
784
1.13 KIPS |
|
|
Text Classification (I8)
|
90% |
580
833.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2027
37.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2040
37.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1147
21.1 IPS |
