ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop TP420IA
Geekbench AI Score
313
Single Precision Score
136
Half Precision Score
444
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sonnie |
| Upload Date | August 18 2024 09:31 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
59
11.0 IPS |
|
|
Image Classification (Q)
|
97% |
297
55.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
47
0.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
344
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
551
0.64 IPS |
|
|
Pose Estimation (Q)
|
87% |
1256
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.20 IPS |
|
|
Object Detection (Q)
|
86% |
189
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (HP)
|
100% |
72
0.85 IPS |
|
|
Face Detection (Q)
|
96% |
716
8.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
434
3.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
163
1.26 IPS |
|
|
Depth Estimation (Q)
|
76% |
712
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1478
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1307
1.68 IPS |
|
|
Style Transfer (Q)
|
87% |
2399
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
415
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.4 IPS |
|
|
Text Classification (HP)
|
100% |
111
148.8 IPS |
|
|
Text Classification (Q)
|
97% |
92
123.2 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (Q)
|
60% |
266
5.93 IPS |
