ASUSTeK COMPUTER INC. Vivobook Go E1504GAB_E1504GA
Geekbench AI Score
1527
Single Precision Score
1527
Half Precision Score
3133
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 10 2025 11:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
957
178.1 IPS |
|
|
Image Classification (HP)
|
100% |
934
173.7 IPS |
|
|
Image Classification (Q)
|
100% |
2071
385.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1935
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1906
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1892
2.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
4928
5.77 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (Q)
|
88% |
2004
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (Q)
|
100% |
5043
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2587
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2507
19.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
5608
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5518
7.09 IPS |
|
|
Style Transfer (HP)
|
100% |
5604
7.20 IPS |
|
|
Style Transfer (Q)
|
98% |
13906
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2613
96.8 IPS |
|
|
Text Classification (SP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1568
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1429
24.6 IPS |
