LENOVO 20XJS14W00
Geekbench AI Score
2435
Single Precision Score
3061
Half Precision Score
1867
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Crimble |
| Upload Date | July 01 2025 05:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20XJS14W00 |
| Motherboard | LENOVO 20XJS14W00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 PRO 5450U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1039
193.1 IPS |
|
|
Image Classification (HP)
|
100% |
1135
211.0 IPS |
|
|
Image Classification (Q)
|
100% |
891
165.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
963
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8182
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14536
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
7133
8.36 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (HP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (Q)
|
88% |
1006
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
2323
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5355
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7269
56.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
4273
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14288
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23159
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
12059
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4574
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2279
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.6 IPS |
|
|
Text Classification (HP)
|
100% |
739
986.7 IPS |
|
|
Text Classification (Q)
|
97% |
488
653.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
70% |
628
11.8 IPS |
