LENOVO 11JKS14X00 2x16G 1R M471A2G43BB2-CWE LENOVO 11JKS14X00
Geekbench AI Score
2136
Single Precision Score
1027
Half Precision Score
2741
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Melkon |
| Upload Date | January 14 2026 01:20 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1852
344.4 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
96% |
2104
392.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
2768
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4157
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
4863
5.75 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
58% |
1560
170.4 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
4577
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5170
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1524
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5175
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9237
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7478
9.61 IPS |
|
|
Style Transfer (Q)
|
87% |
8810
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1892
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
526
702.2 IPS |
|
|
Text Classification (Q)
|
97% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
1592
30.7 IPS |
