LENOVO 81X2
Geekbench AI Score
1988
Single Precision Score
2085
Half Precision Score
2680
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 01:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81X2 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
1294
240.7 IPS |
|
|
Image Classification (Q)
|
100% |
1665
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2004
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2857
3.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
3742
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (Q)
|
87% |
1790
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
5300
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3485
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3436
26.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4589
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7787
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7732
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
11333
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2357
87.3 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (Q)
|
91% |
713
958.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1850
31.9 IPS |
