LENOVO 83B2
Geekbench AI Score
2812
Single Precision Score
3832
Half Precision Score
2192
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | batu69 |
| Upload Date | September 01 2025 04:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
| 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% |
1184
220.2 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.1 IPS |
|
|
Image Classification (Q)
|
100% |
1108
206.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8447
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
17557
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
7496
8.78 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (Q)
|
88% |
1158
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
2925
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
3589
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
2397
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5558
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9169
70.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4833
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17854
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29556
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15098
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3956
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2805
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
621
832.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (Q)
|
70% |
757
14.2 IPS |
