LENOVO 82KU
Geekbench AI Score
1686
Single Precision Score
838
Half Precision Score
2012
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 10 2024 01:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82KU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.3 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.7 IPS |
|
|
Image Classification (Q)
|
96% |
2080
388.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
1201
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2690
3.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
4811
5.69 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
58% |
1294
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (Q)
|
96% |
3773
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4645
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1289
9.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
4799
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7843
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6282
8.08 IPS |
|
|
Style Transfer (Q)
|
87% |
7650
9.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1025
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1436
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
450
600.5 IPS |
|
|
Text Classification (Q)
|
97% |
327
438.4 IPS |
|
|
Machine Translation (SP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
68% |
1075
20.8 IPS |
