ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407CA_S3407CA
Geekbench AI Score
2770
Single Precision Score
1206
Half Precision Score
5472
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 09:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407CA_S3407CA |
| Motherboard | ASUSTeK COMPUTER INC. S3407CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
4486
836.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6565
106.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6426
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4101
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
20471
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1759
139.5 IPS |
|
|
Object Detection (HP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
86% |
4952
398.0 IPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
6419
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1689
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10251
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13841
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9760
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15170
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3671
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
538
718.0 IPS |
|
|
Text Classification (Q)
|
97% |
1007
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2187
44.0 IPS |
