ASUSTeK COMPUTER INC. ASUS Vivobook 14 Flip TP3407SA_TP3407SA
Geekbench AI Score
3042
Single Precision Score
1353
Half Precision Score
6095
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 08:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| 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 7 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
5269
982.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7081
115.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4699
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
15861
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
4875
391.8 IPS |
|
|
Face Detection (SP)
|
100% |
5987
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
7651
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5836
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1892
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12551
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11159
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8359
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18265
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4664
172.7 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.1 IPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1884
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2364
47.5 IPS |
