Lenovo ThinkPad E14 Gen 2 - AMD Ryzen 5 4500U LENOVO 20T60072US
Geekbench AI Score
1545
Single Precision Score
773
Half Precision Score
2024
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 16 2025 02:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20T60072US |
| Motherboard | LENOVO 20T60072US |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (Q)
|
96% |
1523
284.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
1978
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2175
2.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
3435
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
1200
95.2 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
58% |
1114
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (Q)
|
96% |
3376
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3377
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
8.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
3694
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6176
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
5029
6.47 IPS |
|
|
Style Transfer (Q)
|
87% |
6447
8.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
960
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1436
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
423
565.2 IPS |
|
|
Text Classification (Q)
|
97% |
693
928.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
68% |
1256
24.3 IPS |
