LENOVO 11JKS14X00
Geekbench AI Score
2015
Single Precision Score
2004
Half Precision Score
2518
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Melkon |
| Upload Date | December 29 2025 10:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4600GE with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 11JKS14X00 |
| Motherboard | LENOVO 3190 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600GE with Radeon Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1144
212.7 IPS |
|
|
Image Classification (HP)
|
100% |
1081
201.0 IPS |
|
|
Image Classification (Q)
|
100% |
1563
290.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2134
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2775
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2637
3.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
3464
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (Q)
|
87% |
1570
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
4587
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3450
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3615
27.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
4483
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7921
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8062
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12082
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2123
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
1258
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (Q)
|
91% |
643
864.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1670
28.8 IPS |
