ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
2298
Single Precision Score
1001
Half Precision Score
4128
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Critster |
| Upload Date | January 29 2025 10:09 PM |
| Views | 1 |
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% |
2376
441.8 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.8 IPS |
|
|
Image Classification (Q)
|
99% |
4654
868.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1978
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3575
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
13036
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
86% |
3538
284.4 IPS |
|
|
Face Detection (SP)
|
100% |
4473
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
5330
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4374
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1439
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9070
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9148
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6701
8.61 IPS |
|
|
Style Transfer (Q)
|
98% |
15149
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2470
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.6 IPS |
|
|
Text Classification (Q)
|
97% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
65% |
1946
39.1 IPS |
