ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M1605YA_M1605YA
Geekbench AI Score
974
Single Precision Score
979
Half Precision Score
721
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | piriunix |
| Upload Date | May 19 2025 12:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7430U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Mageia 10 |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M1605YA_M1605YA |
| Motherboard | ASUSTeK COMPUTER INC. M1605YA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7430U with Radeon Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
929
172.8 IPS |
|
|
Image Classification (HP)
|
100% |
913
169.9 IPS |
|
|
Image Classification (Q)
|
99% |
511
95.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
570
9.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1063
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1063
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1228
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.5 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (Q)
|
85% |
469
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
1144
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1041
8.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1001
7.71 IPS |
|
|
Depth Estimation (Q)
|
63% |
907
8.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1113
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1140
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2142
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
700
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
1178
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
417
560.2 IPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
58% |
350
8.22 IPS |
