LENOVO 82N6
Geekbench AI Score
2086
Single Precision Score
1027
Half Precision Score
3816
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JerryChou2003 |
| Upload Date | February 13 2025 11:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 82N6 |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
96% |
3432
640.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
1698
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2729
3.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
8736
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
58% |
2737
299.0 IPS |
|
|
Face Detection (SP)
|
100% |
1803
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
6494
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5283
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1719
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9207
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9663
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7510
9.65 IPS |
|
|
Style Transfer (Q)
|
87% |
14300
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2270
84.1 IPS |
|
|
Text Classification (SP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.7 IPS |
|
|
Text Classification (Q)
|
97% |
1338
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1810
35.0 IPS |
