ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607CA_S3607CA
Geekbench AI Score
5329
Single Precision Score
7585
Half Precision Score
3552
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hari1684984 |
| Upload Date | September 02 2025 03:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607CA_S3607CA |
| Motherboard | ASUSTeK COMPUTER INC. S3607CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3096
575.8 IPS |
|
|
Image Classification (HP)
|
100% |
3818
710.1 IPS |
|
|
Image Classification (Q)
|
99% |
2438
454.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2107
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17439
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
28122
32.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12691
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
4417
350.3 IPS |
|
|
Object Detection (Q)
|
87% |
2586
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7306
86.8 IPS |
|
|
Face Detection (Q)
|
97% |
2802
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11470
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17542
135.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
8747
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42747
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
70214
90.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26107
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6762
249.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9366
345.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3884
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
780
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (Q)
|
70% |
979
18.4 IPS |
