LENOVO 82K2
Geekbench AI Score
9484
Single Precision Score
16262
Half Precision Score
6820
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 08:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82K2 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4152
772.2 IPS |
|
|
Image Classification (HP)
|
99% |
7007
1.31 KIPS |
|
|
Image Classification (Q)
|
99% |
3390
632.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5872
95.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9005
146.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4876
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
41386
48.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
118310
138.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34872
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4839
383.9 IPS |
|
|
Object Detection (HP)
|
100% |
8854
702.3 IPS |
|
|
Object Detection (Q)
|
84% |
3932
317.1 IPS |
|
|
Face Detection (SP)
|
100% |
10304
122.4 IPS |
|
|
Face Detection (HP)
|
100% |
16947
201.4 IPS |
|
|
Face Detection (Q)
|
97% |
8505
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23785
183.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48274
371.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
17323
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
70742
90.9 IPS |
|
|
Style Transfer (HP)
|
100% |
185899
239.0 IPS |
|
|
Style Transfer (Q)
|
98% |
57208
73.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13449
496.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21754
803.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8756
324.2 IPS |
|
|
Text Classification (SP)
|
100% |
2007
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1098
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2579
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1187
22.3 IPS |
