ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2321
Single Precision Score
1258
Half Precision Score
3758
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:44 PM |
| 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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
99% |
2631
490.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2372
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3253
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2678
3.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
12041
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
88% |
1618
129.7 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
3657
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4262
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1840
14.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6440
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8296
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6682
8.59 IPS |
|
|
Style Transfer (Q)
|
98% |
16700
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3449
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
648
865.4 IPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2194
48.9 IPS |
