ASUSTeK COMPUTER INC. ASUS Vivobook 14 Flip TP3407SA_TP3407SA
Geekbench AI Score
2507
Single Precision Score
1711
Half Precision Score
6594
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.5 IPS |
|
|
Image Classification (Q)
|
100% |
4248
790.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4237
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2706
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
10305
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.2 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (Q)
|
88% |
4222
338.5 IPS |
|
|
Face Detection (SP)
|
100% |
4414
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
10916
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3812
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2555
19.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
11414
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7932
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5169
6.64 IPS |
|
|
Style Transfer (Q)
|
98% |
28741
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6001
222.2 IPS |
|
|
Text Classification (SP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3518
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2628
45.3 IPS |
