ASUSTeK COMPUTER INC. VivoBook 15_ASUS Laptop X540MA_X540MA
Geekbench AI Score
297
Single Precision Score
170
Half Precision Score
560
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | Benchmarker |
| Upload Date | September 06 2025 04:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium Silver N5000 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook 15_ASUS Laptop X540MA_X540MA |
| Motherboard | ASUSTeK COMPUTER INC. X540MA |
| CPU Information | |
|---|---|
| Name | Intel Pentium Silver N5000 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
35.8 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
96% |
390
72.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
110
1.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
487
7.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
349
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
793
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.07 IPS |
|
|
Object Detection (Q)
|
58% |
294
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
568
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
96% |
860
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
490
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
874
6.96 IPS |
|
|
Style Transfer (SP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
727
0.93 IPS |
|
|
Style Transfer (Q)
|
87% |
1534
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
441
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.8 IPS |
|
|
Text Classification (HP)
|
100% |
117
155.6 IPS |
|
|
Text Classification (Q)
|
97% |
304
406.6 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (Q)
|
68% |
449
8.68 IPS |
