ASUSTeK COMPUTER INC. Vivobook Go E1504GAB_E1504GA
Geekbench AI Score
1242
Single Precision Score
611
Half Precision Score
2051
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 10 2025 11:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-N305 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook Go E1504GAB_E1504GA |
| Motherboard | ASUSTeK COMPUTER INC. E1504GAB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-N305 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1047
194.7 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.4 IPS |
|
|
Image Classification (Q)
|
99% |
1725
321.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1338
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1866
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1482
1.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
4539
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
86% |
1682
135.1 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (Q)
|
97% |
3035
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2585
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
890
6.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
4055
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4816
6.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3816
4.91 IPS |
|
|
Style Transfer (Q)
|
98% |
5324
6.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1361
50.4 IPS |
|
|
Text Classification (SP)
|
100% |
688
917.7 IPS |
|
|
Text Classification (HP)
|
100% |
361
481.5 IPS |
|
|
Text Classification (Q)
|
97% |
746
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (Q)
|
65% |
1128
22.7 IPS |
