ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X509DJ_M509DJ
Geekbench AI Score
1328
Single Precision Score
2065
Half Precision Score
891
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | John893 |
| Upload Date | September 11 2024 11:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X509DJ_M509DJ |
| Motherboard | ASUSTeK COMPUTER INC. X509DJ |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
782
145.5 IPS |
|
|
Image Classification (Q)
|
99% |
400
74.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
454
7.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
6435
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
12137
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
4647
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (Q)
|
89% |
380
30.5 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
677
8.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
2987
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5026
38.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
2067
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10764
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18872
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7404
9.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3304
122.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1172
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.8 IPS |
|
|
Text Classification (HP)
|
100% |
538
718.6 IPS |
|
|
Text Classification (Q)
|
97% |
344
461.0 IPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
60% |
236
5.32 IPS |
