ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
9384
Single Precision Score
21807
Half Precision Score
25341
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | October 04 2024 01:20 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6552
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
10798
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
12515
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8386
135.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19668
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20532
332.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21421
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
130119
151.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
243030
284.5 IPS |
|
|
Object Detection (SP)
|
100% |
6014
477.0 IPS |
|
|
Object Detection (HP)
|
100% |
11762
933.0 IPS |
|
|
Object Detection (Q)
|
88% |
13147
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
13328
158.4 IPS |
|
|
Face Detection (HP)
|
100% |
27710
329.3 IPS |
|
|
Face Detection (Q)
|
100% |
35718
424.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22346
172.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56022
431.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
59519
462.8 IPS |
|
|
Style Transfer (SP)
|
100% |
46566
59.9 IPS |
|
|
Style Transfer (HP)
|
100% |
146266
188.0 IPS |
|
|
Style Transfer (Q)
|
98% |
174991
225.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8948
330.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27820
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31022
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (Q)
|
92% |
3557
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2441
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3241
55.8 IPS |
