LENOVO 20NKS00100
Geekbench AI Score
1360
Single Precision Score
1694
Half Precision Score
1055
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | escardel |
| Upload Date | January 06 2026 12:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 6 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20NKS00100 |
| Motherboard | LENOVO 20NKS00100 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 PRO 3300U w/ Radeon Vega Mobile Gfx |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
100% |
400
74.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
508
8.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
4765
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
9814
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
4261
4.99 IPS |
|
|
Object Detection (SP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (HP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (Q)
|
86% |
500
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
988
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2650
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3317
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
2136
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10169
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16549
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8375
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2370
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3432
126.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1625
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
562
750.7 IPS |
|
|
Text Classification (HP)
|
100% |
542
723.7 IPS |
|
|
Text Classification (Q)
|
97% |
341
457.5 IPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
70% |
406
7.61 IPS |
