LENOVO 20XJS14W00
Geekbench AI Score
1724
Single Precision Score
947
Half Precision Score
2870
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Crimble |
| Upload Date | July 01 2025 05:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 PRO 5450U |
| 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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
559
9.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
2729
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2282
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1961
2.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
4849
5.73 IPS |
|
|
Object Detection (SP)
|
100% |
1216
96.5 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
58% |
1605
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
4346
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3348
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1396
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5127
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5998
7.71 IPS |
|
|
Style Transfer (HP)
|
100% |
4645
5.97 IPS |
|
|
Style Transfer (Q)
|
87% |
8202
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2380
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
744
993.2 IPS |
|
|
Text Classification (Q)
|
97% |
1152
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.50 IPS |
|
|
Machine Translation (Q)
|
68% |
1538
29.7 IPS |
