LENOVO 83HN
Geekbench AI Score
3018
Single Precision Score
1406
Half Precision Score
6392
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dridri |
| Upload Date | April 29 2025 04:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 83HN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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% |
2354
437.7 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (Q)
|
99% |
6416
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2576
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5166
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4635
5.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
23789
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
86% |
7265
583.9 IPS |
|
|
Face Detection (SP)
|
100% |
5299
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
10317
123.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6921
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2267
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8291
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12392
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11776
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28564
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3227
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
681
909.5 IPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3458
69.5 IPS |
