ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
4612
Single Precision Score
7117
Half Precision Score
3368
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | holybible2 |
| Upload Date | December 18 2024 09:13 PM |
| Views | 13 |
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% |
2225
413.9 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.7 IPS |
|
|
Image Classification (Q)
|
100% |
1922
357.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6699
108.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2464
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13364
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18980
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11725
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.8 IPS |
|
|
Object Detection (HP)
|
99% |
4616
367.2 IPS |
|
|
Object Detection (Q)
|
86% |
2206
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8849
105.2 IPS |
|
|
Face Detection (Q)
|
97% |
3604
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9410
72.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
19468
150.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
7424
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42168
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63124
81.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31501
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7112
262.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10895
402.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3811
141.1 IPS |
|
|
Text Classification (SP)
|
86% |
754
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
660
880.7 IPS |
|
|
Text Classification (Q)
|
84% |
552
749.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (Q)
|
70% |
867
16.3 IPS |
