LENOVO 11JKS14X00 2x16G 1R M471A2G43BB2-CWE LENOVO 11JKS14X00
Geekbench AI Score
2786
Single Precision Score
2755
Half Precision Score
3507
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Melkon |
| Upload Date | January 14 2026 02:55 AM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1733
322.3 IPS |
|
|
Image Classification (HP)
|
100% |
1710
317.9 IPS |
|
|
Image Classification (Q)
|
100% |
2194
408.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2751
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4220
4.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
5300
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (Q)
|
87% |
2360
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
7048
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4993
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4882
37.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
6223
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11640
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11586
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15138
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3156
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (Q)
|
91% |
791
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2251
38.8 IPS |
