LENOVO 20NKS00100
Geekbench AI Score
858
Single Precision Score
507
Half Precision Score
975
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | escardel |
| Upload Date | January 06 2026 12:54 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 PRO 3300U w/ Radeon Vega Mobile Gfx |
| 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% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.4 IPS |
|
|
Image Classification (Q)
|
96% |
616
115.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
870
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1202
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
1305
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
58% |
491
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (Q)
|
96% |
1731
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1610
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
777
5.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
1630
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3086
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2720
3.50 IPS |
|
|
Style Transfer (Q)
|
87% |
3005
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
694
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
584
780.1 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.6 IPS |
|
|
Text Classification (Q)
|
97% |
492
658.7 IPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
68% |
782
15.1 IPS |
