LENOVO 83HN
Geekbench AI Score
2918
Single Precision Score
1458
Half Precision Score
6308
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | msalobthani |
| Upload Date | March 31 2026 06:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2109
392.2 IPS |
|
|
Image Classification (HP)
|
100% |
505
93.9 IPS |
|
|
Image Classification (Q)
|
99% |
6182
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8492
138.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5211
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4714
5.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
23585
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.7 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
86% |
6374
512.3 IPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
9807
116.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6779
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2307
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8143
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12934
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12293
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29513
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1707
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
689
919.2 IPS |
|
|
Text Classification (Q)
|
97% |
1183
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2659
53.4 IPS |
