ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
8817
Single Precision Score
22489
Half Precision Score
26101
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | urostor |
| Upload Date | December 10 2024 11:08 AM |
| 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 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Balanced |
| 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% |
6540
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
14383
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
16571
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7011
113.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12884
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14791
239.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22927
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122349
142.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
238037
278.7 IPS |
|
|
Object Detection (SP)
|
100% |
5475
434.3 IPS |
|
|
Object Detection (HP)
|
100% |
13767
1.09 KIPS |
|
|
Object Detection (Q)
|
88% |
13752
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
11947
142.0 IPS |
|
|
Face Detection (HP)
|
100% |
27146
322.6 IPS |
|
|
Face Detection (Q)
|
100% |
36886
438.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20394
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51527
397.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
63297
492.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50298
64.7 IPS |
|
|
Style Transfer (HP)
|
100% |
142256
182.9 IPS |
|
|
Style Transfer (Q)
|
98% |
174293
224.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9335
344.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26936
994.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32003
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4637
6.19 KIPS |
|
|
Text Classification (Q)
|
92% |
3542
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3966
68.3 IPS |
