LENOVO 20NE0001CA
Geekbench AI Score
869
Single Precision Score
879
Half Precision Score
1074
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 05:37 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700U with Radeon Vega Mobile Gfx |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
558
103.8 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
100% |
661
122.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
970
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
1230
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
87% |
669
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
1892
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1379
10.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
1410
10.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
1704
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2775
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
2971
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3765
4.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
816
30.2 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.6 IPS |
|
|
Text Classification (HP)
|
100% |
670
893.9 IPS |
|
|
Text Classification (Q)
|
91% |
577
775.8 IPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
90% |
915
15.9 IPS |
