LENOVO 82K2
Geekbench AI Score
8682
Single Precision Score
15193
Half Precision Score
6351
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 01:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3903
725.9 IPS |
|
|
Image Classification (HP)
|
99% |
6662
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
3234
603.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5407
87.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8245
133.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4538
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
35808
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
109317
127.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30949
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
4409
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
8192
649.8 IPS |
|
|
Object Detection (Q)
|
84% |
3668
295.8 IPS |
|
|
Face Detection (SP)
|
100% |
9559
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
15446
183.5 IPS |
|
|
Face Detection (Q)
|
97% |
7949
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20780
160.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45432
350.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
15673
125.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62547
80.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171315
220.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52304
67.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12543
463.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21728
802.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8213
304.1 IPS |
|
|
Text Classification (SP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (HP)
|
99% |
2264
3.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1083
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1106
20.8 IPS |
