LENOVO 82K2
Geekbench AI Score
2831
Single Precision Score
1304
Half Precision Score
4727
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 06:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Gebalanceerd |
| 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% |
2627
488.6 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
96% |
4604
859.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
5234
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4642
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3954
4.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
10639
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.2 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
58% |
2676
292.4 IPS |
|
|
Face Detection (SP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
6395
76.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6715
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1906
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9224
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11588
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10183
13.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11683
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3989
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1369
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2159
41.7 IPS |
