LENOVO 82SN
Geekbench AI Score
2766
Single Precision Score
1255
Half Precision Score
4154
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 08:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800HS Creator Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82SN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800HS Creator Edition |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2588
481.4 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
96% |
4370
816.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
1864
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3274
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3638
4.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
9751
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
58% |
2837
310.0 IPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
7062
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6972
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2001
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9383
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11684
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9568
12.3 IPS |
|
|
Style Transfer (Q)
|
87% |
14321
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2201
81.6 IPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
743
991.2 IPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2303
44.5 IPS |
