LENOVO 20NE0001CA
Geekbench AI Score
855
Single Precision Score
863
Half Precision Score
1031
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700U with Radeon Vega Mobile Gfx |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20NE0001CA |
| Motherboard | LENOVO 20NE0001CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
533
99.2 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
944
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
971
1.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
1188
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (Q)
|
87% |
655
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1888
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1340
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1348
10.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
1644
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2840
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2856
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3628
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
787
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.5 IPS |
|
|
Text Classification (HP)
|
100% |
700
934.8 IPS |
|
|
Text Classification (Q)
|
91% |
405
544.2 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
100% |
992
17.1 IPS |
