ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench ML Score
2886
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | January 04 2025 04:22 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1200
224.6 IPS |
|
|
Image Classification (F16)
|
100% |
1211
226.5 IPS |
|
|
Image Classification (I8)
|
100% |
1082
202.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1442
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1450
24.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1292
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
12958
15.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13002
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11737
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1163
86.8 IPS |
|
|
Object Detection (F16)
|
100% |
1148
85.7 IPS |
|
|
Object Detection (I8)
|
54% |
1043
77.8 IPS |
|
|
Face Detection (F32)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (I8)
|
89% |
1182
14.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7001
54.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7065
54.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
5860
45.4 IPS |
|
|
Style Transfer (F32)
|
100% |
38779
51.0 IPS |
|
|
Style Transfer (F16)
|
100% |
38117
50.1 IPS |
|
|
Style Transfer (I8)
|
98% |
29445
38.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6533
233.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7088
253.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4712
168.3 IPS |
|
|
Text Classification (F32)
|
90% |
683
982.2 IPS |
|
|
Text Classification (F16)
|
90% |
690
992.1 IPS |
|
|
Text Classification (I8)
|
90% |
517
742.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2030
37.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2025
37.3 IPS |
|
|
Machine Translation (I8)
|
70% |
983
18.1 IPS |
