LENOVO 82N6
Geekbench AI Score
1184
Single Precision Score
533
Half Precision Score
1907
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 11:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82N6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
822
152.8 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
96% |
1631
304.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
1825
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1718
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
3699
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
58% |
1081
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (Q)
|
96% |
2870
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2261
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
743
5.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
3847
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4613
5.93 IPS |
|
|
Style Transfer (HP)
|
100% |
3596
4.62 IPS |
|
|
Style Transfer (Q)
|
87% |
6844
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1460
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.7 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.4 IPS |
|
|
Text Classification (Q)
|
97% |
479
642.3 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (Q)
|
68% |
1013
19.6 IPS |
