ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
2395
Single Precision Score
7219
Half Precision Score
10638
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | janniebasson001 |
| Upload Date | January 25 2025 01:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405MA |
| 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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
5206
968.2 IPS |
|
|
Image Classification (Q)
|
100% |
6374
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2634
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
24377
28.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
58321
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
4396
348.7 IPS |
|
|
Object Detection (Q)
|
87% |
6245
501.2 IPS |
|
|
Face Detection (SP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
13298
158.0 IPS |
|
|
Face Detection (Q)
|
100% |
20666
245.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3877
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15788
121.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30681
238.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9600
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40707
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
63885
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10376
383.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19479
721.4 IPS |
|
|
Text Classification (SP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1502
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
1597
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2410
41.5 IPS |
