LENOVO T14s AMD LENOVO 20UJS30H00
Geekbench AI Score
1736
Single Precision Score
865
Half Precision Score
1928
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | clewisNMU |
| Upload Date | March 13 2025 03:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 4650U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 20UJS30H00 |
| Motherboard | LENOVO 20UJS30H00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 4650U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
96% |
1783
333.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
1124
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
4136
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
58% |
1210
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.89 IPS |
|
|
Face Detection (Q)
|
96% |
3795
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4232
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
4433
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7339
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
5893
7.58 IPS |
|
|
Style Transfer (Q)
|
87% |
7382
9.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1431
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.5 IPS |
|
|
Text Classification (Q)
|
97% |
346
463.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1155
22.3 IPS |
