ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M1605YA_M1605YA
Geekbench AI Score
1315
Single Precision Score
1312
Half Precision Score
858
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | piriunix |
| Upload Date | September 20 2024 10:31 AM |
| Views | 2 |
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 | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1155
214.9 IPS |
|
|
Image Classification (HP)
|
100% |
1137
211.5 IPS |
|
|
Image Classification (Q)
|
99% |
600
112.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1367
1.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
1387
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
85% |
548
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
1388
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1392
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1413
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1351
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1349
10.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1032
9.67 IPS |
|
|
Style Transfer (SP)
|
100% |
1520
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1517
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2753
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
830
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
504
676.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (Q)
|
58% |
425
9.97 IPS |
