ASUSTeK COMPUTER INC. Vivobook Go E1504FA_E1504FA
Geekbench AI Score
1439
Single Precision Score
1600
Half Precision Score
1175
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 06:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook Go E1504FA_E1504FA |
| Motherboard | ASUSTeK COMPUTER INC. E1504FA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7520U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 160 Stepping 0 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
492
91.4 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
100% |
485
90.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
758
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4845
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
8520
9.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
4252
4.98 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
100% |
524
41.5 IPS |
|
|
Object Detection (Q)
|
87% |
524
42.1 IPS |
|
|
Face Detection (SP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1374
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2715
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3381
26.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2343
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8809
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13028
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7622
9.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2137
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2769
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1573
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.4 IPS |
|
|
Text Classification (HP)
|
100% |
613
817.9 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.7 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
70% |
414
7.77 IPS |
