LENOVO 20XJS14W00
Geekbench AI Score
2140
Single Precision Score
2144
Half Precision Score
3633
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Crimble |
| Upload Date | July 01 2025 05:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 PRO 5450U with Radeon 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% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
1355
251.9 IPS |
|
|
Image Classification (Q)
|
100% |
2548
473.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2481
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2446
2.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
5512
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.8 IPS |
|
|
Object Detection (HP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (Q)
|
87% |
2395
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
6437
76.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3457
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3432
26.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
6511
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7510
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
7452
9.58 IPS |
|
|
Style Transfer (Q)
|
98% |
14578
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3261
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (Q)
|
91% |
1100
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2098
36.1 IPS |
