LENOVO 83HN
Geekbench AI Score
7157
Single Precision Score
9936
Half Precision Score
5539
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| 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% |
2880
535.6 IPS |
|
|
Image Classification (HP)
|
100% |
4202
781.4 IPS |
|
|
Image Classification (Q)
|
100% |
2530
470.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4572
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5083
82.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3670
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
38294
44.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62271
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
30771
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
2811
223.0 IPS |
|
|
Object Detection (HP)
|
100% |
4084
323.9 IPS |
|
|
Object Detection (Q)
|
87% |
2670
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
10851
128.9 IPS |
|
|
Face Detection (Q)
|
97% |
5595
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18796
144.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25449
196.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14657
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
64534
83.0 IPS |
|
|
Style Transfer (HP)
|
100% |
103398
132.9 IPS |
|
|
Style Transfer (Q)
|
98% |
48615
62.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13242
489.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17476
645.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8801
325.9 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1266
1.69 KIPS |
|
|
Text Classification (Q)
|
97% |
646
866.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1573
29.5 IPS |
