ASUSTeK COMPUTER INC. ASUS Vivobook 16 Flip TP3607SA_TP3607SA
Geekbench AI Score
2903
Single Precision Score
1298
Half Precision Score
5840
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ahoffman |
| Upload Date | November 22 2025 10:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 Flip TP3607SA_TP3607SA |
| Motherboard | ASUSTeK COMPUTER INC. TP3607SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
2280
424.0 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
99% |
4908
915.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6883
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4483
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3191
3.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
15784
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2030
161.0 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
86% |
4607
370.3 IPS |
|
|
Face Detection (SP)
|
100% |
5733
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
7353
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5501
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1885
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11993
95.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10646
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8012
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18664
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4242
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.0 IPS |
|
|
Text Classification (Q)
|
97% |
1234
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2184
43.9 IPS |
