LENOVO 81B1
Geekbench AI Score
771
Single Precision Score
431
Half Precision Score
749
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chipster1975 |
| Upload Date | June 27 2025 04:09 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 81B1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
96% |
629
117.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
508
8.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1040
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
1101
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
58% |
406
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
513
6.09 IPS |
|
|
Face Detection (Q)
|
96% |
1500
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1241
9.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
617
4.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
1398
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2450
3.15 IPS |
|
|
Style Transfer (HP)
|
100% |
2035
2.62 IPS |
|
|
Style Transfer (Q)
|
87% |
2348
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
421
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
522
696.5 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.5 IPS |
|
|
Text Classification (Q)
|
97% |
216
289.8 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
68% |
672
13.0 IPS |
