LENOVO 83B2
Geekbench AI Score
1731
Single Precision Score
972
Half Precision Score
3171
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | batu69 |
| Upload Date | September 01 2025 04:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83B2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1041
193.5 IPS |
|
|
Image Classification (HP)
|
100% |
344
64.0 IPS |
|
|
Image Classification (Q)
|
96% |
2615
488.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
3253
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2440
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
5860
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (Q)
|
58% |
1733
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
4812
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3012
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1617
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5739
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5569
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4552
5.85 IPS |
|
|
Style Transfer (Q)
|
87% |
10666
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2396
88.8 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
572
763.5 IPS |
|
|
Text Classification (Q)
|
97% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
68% |
1759
34.0 IPS |
