ASUSTeK COMPUTER INC. Vivobook Go E1504GAB_E1504GA
Geekbench AI Score
1120
Single Precision Score
1258
Half Precision Score
776
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 10 2025 11:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
504
93.8 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (Q)
|
100% |
435
80.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
510
8.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
2880
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3935
4.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
2173
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
98% |
516
41.0 IPS |
|
|
Object Detection (Q)
|
86% |
491
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
733
8.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
2210
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2612
20.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1662
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8049
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11362
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
5545
7.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1846
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
663
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.7 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.9 IPS |
|
|
Text Classification (Q)
|
97% |
276
369.8 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (Q)
|
70% |
271
5.09 IPS |
