LENOVO 83DH
Geekbench AI Score
3086
Single Precision Score
1583
Half Precision Score
7653
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 07:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DH |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Uravnoteeno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2437
453.3 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
99% |
7005
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9552
155.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5298
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4556
5.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
22255
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (Q)
|
86% |
7036
565.5 IPS |
|
|
Face Detection (SP)
|
100% |
5358
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
1610
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
9290
110.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6675
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2417
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8440
67.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12661
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11312
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25182
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6109
226.2 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1765
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2151
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3091
62.1 IPS |
