ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
3299
Single Precision Score
7369
Half Precision Score
2501
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 04:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
4311
801.7 IPS |
|
|
Image Classification (Q)
|
100% |
1170
217.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7195
116.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1346
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13675
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19633
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11936
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (HP)
|
99% |
4794
381.4 IPS |
|
|
Object Detection (Q)
|
86% |
1162
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
9005
107.0 IPS |
|
|
Face Detection (Q)
|
97% |
1243
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7162
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
19684
152.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
5883
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39516
50.8 IPS |
|
|
Style Transfer (HP)
|
100% |
65819
84.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30513
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10876
401.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4660
172.6 IPS |
|
|
Text Classification (SP)
|
86% |
777
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
657
876.3 IPS |
|
|
Text Classification (Q)
|
84% |
475
644.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1942
33.5 IPS |
|
|
Machine Translation (Q)
|
70% |
890
16.7 IPS |
