ASUSTeK COMPUTER INC. Vivobook Go E1504GAB_E1504GA
Geekbench AI Score
1651
Single Precision Score
2486
Half Precision Score
3870
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 10 2025 11:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1107
205.9 IPS |
|
|
Image Classification (HP)
|
100% |
1629
302.9 IPS |
|
|
Image Classification (Q)
|
99% |
2230
415.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2869
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3275
3.82 IPS |
|
|
Pose Estimation (HP)
|
99% |
2441
2.85 IPS |
|
|
Pose Estimation (Q)
|
97% |
9948
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (HP)
|
98% |
1660
132.1 IPS |
|
|
Object Detection (Q)
|
90% |
2711
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
2154
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
6956
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3648
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6200
47.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
8362
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8281
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13318
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23013
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2388
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4653
172.3 IPS |
|
|
Text Classification (SP)
|
71% |
610
883.1 IPS |
|
|
Text Classification (HP)
|
71% |
777
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
98% |
842
14.6 IPS |
|
|
Machine Translation (Q)
|
100% |
909
15.7 IPS |
