ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop TP420IA
Geekbench AI Score
479
Single Precision Score
480
Half Precision Score
607
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sonnie |
| Upload Date | August 18 2024 09:45 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RN-A1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop TP420IA |
| Motherboard | ASUSTeK COMPUTER INC. TP420IA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD RN-A1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
100% |
513
95.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
272
4.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
811
0.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
890
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
87% |
320
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (HP)
|
100% |
546
6.49 IPS |
|
|
Face Detection (Q)
|
97% |
1001
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
612
4.72 IPS |
|
|
Depth Estimation (HP)
|
100% |
585
4.51 IPS |
|
|
Depth Estimation (Q)
|
79% |
1326
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1819
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1866
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2194
2.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
434
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
195
259.7 IPS |
|
|
Text Classification (HP)
|
100% |
329
438.6 IPS |
|
|
Text Classification (Q)
|
91% |
270
363.1 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
90% |
509
8.85 IPS |
