LENOVO 82JU
Geekbench AI Score
1490
Single Precision Score
655
Half Precision Score
2384
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kingtona123 |
| Upload Date | February 24 2026 12:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82JU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
2675
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1855
2.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
5349
6.32 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
58% |
1392
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (Q)
|
96% |
3695
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2586
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
865
6.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
4512
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5962
7.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3942
5.07 IPS |
|
|
Style Transfer (Q)
|
87% |
7499
9.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1048
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1712
63.4 IPS |
|
|
Text Classification (SP)
|
100% |
720
961.3 IPS |
|
|
Text Classification (HP)
|
100% |
361
482.1 IPS |
|
|
Text Classification (Q)
|
97% |
561
751.2 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (Q)
|
68% |
1218
23.5 IPS |
