LENOVO 83DD
Geekbench AI Score
4126
Single Precision Score
1782
Half Precision Score
7106
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 10:11 PM |
| Views | 3 |
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 83DD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3637
676.3 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.1 IPS |
|
|
Image Classification (Q)
|
99% |
8315
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3853
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7105
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5853
6.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
25531
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3375
267.7 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
7954
639.3 IPS |
|
|
Face Detection (SP)
|
100% |
5432
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
10340
123.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9899
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2723
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7549
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16681
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14548
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25385
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2750
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2477
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3602
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1942
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3641
73.2 IPS |
