LENOVO 83HN
Geekbench AI Score
2525
Single Precision Score
1250
Half Precision Score
4592
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 11:35 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | BV Rovnovha |
| 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% |
1808
336.2 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
99% |
4502
839.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
2209
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4430
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3990
4.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
19316
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.2 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
86% |
2516
202.2 IPS |
|
|
Face Detection (SP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
6924
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2015
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6224
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10563
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10216
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25055
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2662
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.4 IPS |
|
|
Text Classification (Q)
|
97% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2782
55.9 IPS |
