ASUSTeK COMPUTER INC. ASUS Vivobook 16 Flip TP3607SA_TP3607SA
Geekbench AI Score
2332
Single Precision Score
1214
Half Precision Score
4694
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| 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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.5 IPS |
|
|
Image Classification (Q)
|
99% |
3808
710.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2370
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3011
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2505
2.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
11508
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
3896
313.1 IPS |
|
|
Face Detection (SP)
|
100% |
4664
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
6511
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4308
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1826
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9910
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7639
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
6264
8.05 IPS |
|
|
Style Transfer (Q)
|
98% |
15519
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3519
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.1 IPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1819
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2377
47.8 IPS |
