ASUSTeK COMPUTER INC. Vivobook Go E1504FA_E1504FA
Geekbench AI Score
561
Single Precision Score
352
Half Precision Score
814
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aaalluhaibi |
| Upload Date | April 08 2025 11:08 AM |
| Views | 4 |
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% |
356
66.2 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (Q)
|
96% |
714
133.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
484
7.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
1356
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
58% |
457
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (Q)
|
96% |
1620
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
876
6.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
501
3.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
1590
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1894
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1677
2.16 IPS |
|
|
Style Transfer (Q)
|
87% |
2895
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
571
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
377
502.8 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.7 IPS |
|
|
Text Classification (Q)
|
97% |
193
258.9 IPS |
|
|
Machine Translation (SP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
68% |
727
14.0 IPS |
