ASUSTeK COMPUTER INC. ASUS Vivobook 14 Flip TP3407SA_TP3407SA
Geekbench AI Score
8347
Single Precision Score
23361
Half Precision Score
26426
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 14 Flip TP3407SA_TP3407SA |
| Motherboard | ASUSTeK COMPUTER INC. TP3407SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6111
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
13106
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
15391
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6383
103.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12820
207.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14083
228.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19970
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
110699
129.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
213125
249.5 IPS |
|
|
Object Detection (SP)
|
100% |
5449
432.2 IPS |
|
|
Object Detection (HP)
|
100% |
13270
1.05 KIPS |
|
|
Object Detection (Q)
|
88% |
15163
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
12247
145.5 IPS |
|
|
Face Detection (HP)
|
100% |
29991
356.4 IPS |
|
|
Face Detection (Q)
|
100% |
40543
481.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18523
142.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50170
386.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
60171
467.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43632
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
134167
172.5 IPS |
|
|
Style Transfer (Q)
|
98% |
142706
184.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8692
320.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29287
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31978
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4744
6.33 KIPS |
|
|
Text Classification (Q)
|
92% |
3010
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6993
120.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7076
121.9 IPS |
