LENOVO 11JKS4G200
Geekbench AI Score
2790
Single Precision Score
3735
Half Precision Score
2133
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | February 06 2026 08:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 11JKS4G200 |
| Motherboard | LENOVO 3190 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 4650GE |
| 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% |
1179
219.3 IPS |
|
|
Image Classification (HP)
|
100% |
1423
264.7 IPS |
|
|
Image Classification (Q)
|
100% |
1052
195.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1131
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10082
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18782
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
8574
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (Q)
|
88% |
1151
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
2270
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5749
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8881
68.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4600
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18143
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29672
38.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14537
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3890
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2715
100.5 IPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
566
758.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (Q)
|
70% |
715
13.4 IPS |
