ASUSTeK COMPUTER INC. Vivobook Go E1504FA_E1504FA
Geekbench AI Score
1436
Single Precision Score
1597
Half Precision Score
1163
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 05:56 AM |
| Views | 2 |
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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
100% |
484
89.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4856
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
8495
9.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
4223
4.95 IPS |
|
|
Object Detection (SP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (HP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (Q)
|
87% |
521
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
1379
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2760
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3352
25.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2356
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8727
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13277
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7540
9.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2816
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1560
57.8 IPS |
|
|
Text Classification (SP)
|
100% |
569
759.2 IPS |
|
|
Text Classification (HP)
|
100% |
612
817.2 IPS |
|
|
Text Classification (Q)
|
97% |
362
484.7 IPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
70% |
413
7.74 IPS |
