LENOVO 21DL
Geekbench AI Score
2022
Single Precision Score
987
Half Precision Score
3327
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 06:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5625U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21DL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5625U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
853
158.7 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
96% |
2783
519.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
1765
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2495
2.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
6564
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (Q)
|
58% |
2411
263.4 IPS |
|
|
Face Detection (SP)
|
100% |
2439
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
5765
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4297
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1540
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6892
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7910
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6479
8.33 IPS |
|
|
Style Transfer (Q)
|
87% |
9258
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1923
71.2 IPS |
|
|
Text Classification (SP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.4 IPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
68% |
2072
40.0 IPS |
