LENOVO 11JKS14X00
Geekbench AI Score
2987
Single Precision Score
3926
Half Precision Score
2256
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Melkon |
| Upload Date | December 29 2025 10:31 PM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (Q)
|
100% |
1080
200.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1181
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11196
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19956
23.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
9317
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (Q)
|
88% |
1224
98.1 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
2417
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6494
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9109
70.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5090
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19258
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31622
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15489
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3922
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6109
225.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2744
101.6 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
588
787.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (Q)
|
70% |
767
14.4 IPS |
