LENOVO 83D3
Geekbench AI Score
4670
Single Precision Score
4684
Half Precision Score
13497
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 10:20 PM |
| Views | 3 |
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 83D3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
2976
553.5 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.4 IPS |
|
|
Image Classification (Q)
|
100% |
9472
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3663
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3581
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8588
139.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5496
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5573
6.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
22931
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (Q)
|
88% |
9214
738.6 IPS |
|
|
Face Detection (SP)
|
100% |
5640
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
5830
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
22576
268.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7204
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7285
56.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
22772
177.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16753
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17049
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
67826
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3301
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13186
488.3 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (Q)
|
92% |
4780
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4169
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5312
91.5 IPS |
