ASUSTeK COMPUTER INC. Vivobook Go E1504FA_E1504FA
Geekbench AI Score
564
Single Precision Score
340
Half Precision Score
770
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aaalluhaibi |
| Upload Date | April 08 2025 12:25 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7520U |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
96% |
636
118.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
455
7.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
731
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
1276
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
58% |
436
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
428
5.08 IPS |
|
|
Face Detection (Q)
|
96% |
1526
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
498
3.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
1542
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1826
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1670
2.15 IPS |
|
|
Style Transfer (Q)
|
87% |
2901
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
551
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
514
686.5 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.4 IPS |
|
|
Text Classification (Q)
|
97% |
174
233.3 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
68% |
700
13.5 IPS |
