LENOVO 81VS
Geekbench AI Score
75
Single Precision Score
55
Half Precision Score
86
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | October 27 2025 05:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A6-9220e |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81VS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD A6-9220e |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 21 Model 112 Stepping 0 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
43
7.93 IPS |
|
|
Image Classification (HP)
|
100% |
24
4.56 IPS |
|
|
Image Classification (Q)
|
96% |
70
13.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
30
0.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
41
0.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
95
0.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
143
0.17 IPS |
|
|
Object Detection (SP)
|
100% |
48
3.78 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.70 IPS |
|
|
Object Detection (Q)
|
58% |
50
5.47 IPS |
|
|
Face Detection (SP)
|
100% |
133
1.58 IPS |
|
|
Face Detection (HP)
|
100% |
84
0.99 IPS |
|
|
Face Detection (Q)
|
96% |
189
2.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
140
1.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
91
0.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
171
1.36 IPS |
|
|
Style Transfer (SP)
|
100% |
297
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
257
0.33 IPS |
|
|
Style Transfer (Q)
|
87% |
357
0.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53
1.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54
1.99 IPS |
|
|
Text Classification (SP)
|
100% |
35
46.1 IPS |
|
|
Text Classification (HP)
|
100% |
28
37.4 IPS |
|
|
Text Classification (Q)
|
97% |
24
31.5 IPS |
|
|
Machine Translation (SP)
|
100% |
73
1.26 IPS |
|
|
Machine Translation (HP)
|
100% |
42
0.72 IPS |
|
|
Machine Translation (Q)
|
68% |
76
1.46 IPS |
