LENOVO 20NFCTO1WW
Geekbench AI Score
819
Single Precision Score
470
Half Precision Score
876
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 03:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 20NFCTO1WW |
| Motherboard | LENOVO 20NFCTO1WW |
| Power Plan | Lenovo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
576
107.0 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
96% |
577
107.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
575
9.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1152
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
978
1.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
1216
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
617
49.0 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
58% |
467
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (Q)
|
96% |
1606
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
750
5.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
1604
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2285
2.94 IPS |
|
|
Style Transfer (HP)
|
100% |
2330
3.00 IPS |
|
|
Style Transfer (Q)
|
87% |
2887
3.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.8 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.1 IPS |
|
|
Text Classification (Q)
|
97% |
487
652.0 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
68% |
760
14.7 IPS |
