ASUSTeK COMPUTER INC. ASUS Vivobook 16 Flip TP3607SA_TP3607SA
Geekbench AI Score
8912
Single Precision Score
22719
Half Precision Score
26762
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 11:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 Flip TP3607SA_TP3607SA |
| Motherboard | ASUSTeK COMPUTER INC. TP3607SA |
| 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% |
6018
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
11998
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
15358
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6513
105.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12559
203.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14716
238.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22933
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
125350
146.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
244553
286.3 IPS |
|
|
Object Detection (SP)
|
100% |
5893
467.5 IPS |
|
|
Object Detection (HP)
|
100% |
12933
1.03 KIPS |
|
|
Object Detection (Q)
|
88% |
14131
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
12136
144.2 IPS |
|
|
Face Detection (HP)
|
100% |
28462
338.2 IPS |
|
|
Face Detection (Q)
|
100% |
37924
450.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21483
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52694
406.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
68147
529.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50405
64.8 IPS |
|
|
Style Transfer (HP)
|
100% |
147022
189.0 IPS |
|
|
Style Transfer (Q)
|
98% |
158044
203.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9572
353.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27770
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31789
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5071
6.77 KIPS |
|
|
Text Classification (Q)
|
92% |
3751
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4830
83.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4955
85.3 IPS |
