LENOVO 11JKS14X00 2x16G 1R M471A2G43BB2-CWE LENOVO 11JKS14X00
Geekbench AI Score
2938
Single Precision Score
3882
Half Precision Score
2225
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Melkon |
| Upload Date | January 14 2026 03:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1183
220.1 IPS |
|
|
Image Classification (HP)
|
100% |
1472
273.7 IPS |
|
|
Image Classification (Q)
|
100% |
1065
198.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1158
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11167
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19929
23.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
9259
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (Q)
|
88% |
1208
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (Q)
|
97% |
2368
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6359
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9100
70.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5038
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19148
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31500
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15308
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3890
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2713
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
578
774.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (Q)
|
70% |
755
14.2 IPS |
