LENOVO 83DD
Geekbench AI Score
5800
Single Precision Score
5822
Half Precision Score
16629
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 09:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| 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% |
3713
690.5 IPS |
|
|
Image Classification (HP)
|
100% |
3638
676.6 IPS |
|
|
Image Classification (Q)
|
100% |
10685
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3920
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3915
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10124
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7536
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
7585
8.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
30319
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
3304
262.0 IPS |
|
|
Object Detection (HP)
|
100% |
3294
261.3 IPS |
|
|
Object Detection (Q)
|
88% |
10715
858.9 IPS |
|
|
Face Detection (SP)
|
100% |
5984
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
6056
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
26605
316.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9363
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9753
75.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
28794
224.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21157
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21202
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
82594
106.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4638
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15977
591.7 IPS |
|
|
Text Classification (SP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
92% |
5818
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5561
95.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5521
95.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7826
134.8 IPS |
