ASUS Zenbook Duo UX8406MA_UX8406MA ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
2315
Single Precision Score
1023
Half Precision Score
4171
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Critster |
| Upload Date | January 29 2025 09:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2392
444.8 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
99% |
4588
855.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1739
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3528
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
13535
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
86% |
3518
282.8 IPS |
|
|
Face Detection (SP)
|
100% |
4321
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
5349
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4493
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1447
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8840
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9202
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8710
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15454
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2550
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.1 IPS |
|
|
Text Classification (Q)
|
97% |
1134
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (Q)
|
65% |
1987
39.9 IPS |
