ASUSTeK COMPUTER INC. Vivobook Go E1504FA_E1504FA
Geekbench ML Score
1307
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 12:27 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook Go E1504FA_E1504FA |
| Motherboard | ASUSTeK COMPUTER INC. E1504FA |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
474
88.7 IPS |
|
|
Image Classification (F16)
|
100% |
472
88.3 IPS |
|
|
Image Classification (I8)
|
100% |
435
81.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
885
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
738
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5038
6.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
4996
6.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
4272
5.17 IPS |
|
|
Object Detection (F32)
|
100% |
452
33.7 IPS |
|
|
Object Detection (F16)
|
100% |
453
33.8 IPS |
|
|
Object Detection (I8)
|
62% |
427
31.9 IPS |
|
|
Face Detection (F32)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (F16)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (I8)
|
89% |
1123
13.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2832
22.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2837
22.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
2447
19.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8983
11.8 IPS |
|
|
Style Transfer (F16)
|
100% |
8925
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7791
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2223
79.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2240
80.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1633
58.3 IPS |
|
|
Text Classification (F32)
|
100% |
548
787.7 IPS |
|
|
Text Classification (F16)
|
100% |
548
787.3 IPS |
|
|
Text Classification (I8)
|
98% |
369
529.6 IPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
749
13.8 IPS |
|
|
Machine Translation (I8)
|
70% |
459
8.45 IPS |
