LENOVO 83HN
Geekbench AI Score
1665
Single Precision Score
844
Half Precision Score
3889
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:38 AM |
| Views | 2 |
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 |
| 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% |
1116
207.5 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
99% |
3646
680.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
4936
80.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3814
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3263
3.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
15382
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
86% |
3146
252.8 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (Q)
|
97% |
4472
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3904
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5810
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7884
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8238
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18253
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1849
68.4 IPS |
|
|
Text Classification (SP)
|
100% |
599
799.2 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.1 IPS |
|
|
Text Classification (Q)
|
97% |
636
852.6 IPS |
|
|
Machine Translation (SP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
65% |
1633
32.8 IPS |
