Lenovo ThinkPad E14 Gen 2 - AMD Ryzen 5 4500U LENOVO 20T60072US
Geekbench AI Score
1956
Single Precision Score
1989
Half Precision Score
2474
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 16 2025 02:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U with Radeon Graphics |
| 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% |
1179
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
1176
218.7 IPS |
|
|
Image Classification (Q)
|
100% |
1554
289.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1894
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2711
3.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
3620
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.7 IPS |
|
|
Object Detection (HP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (Q)
|
87% |
1665
133.6 IPS |
|
|
Face Detection (SP)
|
100% |
2342
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
4958
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3319
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3339
25.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
4322
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7452
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
7656
9.84 IPS |
|
|
Style Transfer (Q)
|
98% |
10516
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2158
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (Q)
|
91% |
566
760.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1766
30.4 IPS |
