LENOVO 82K2
Geekbench AI Score
2123
Single Precision Score
1032
Half Precision Score
2882
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 05:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (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% |
1888
351.2 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
96% |
3323
620.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1350
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2635
3.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
8099
9.57 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
58% |
2035
222.4 IPS |
|
|
Face Detection (SP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4697
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3472
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1408
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6948
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7469
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
5933
7.63 IPS |
|
|
Style Transfer (Q)
|
87% |
10589
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2213
82.0 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
673
898.0 IPS |
|
|
Text Classification (Q)
|
97% |
394
527.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1775
34.3 IPS |
