LENOVO 20NE0001CA
Geekbench AI Score
1406
Single Precision Score
2060
Half Precision Score
1038
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:49 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX Vega 10 Graphics |
| 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% |
576
107.2 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
99% |
479
89.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
552
8.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
10889
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
4551
5.33 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (HP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (Q)
|
89% |
553
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
886
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3258
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5246
40.4 IPS |
|
|
Depth Estimation (Q)
|
72% |
2383
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11054
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18665
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
7999
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1369
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
557
743.8 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.9 IPS |
|
|
Text Classification (Q)
|
97% |
348
465.8 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
272
6.13 IPS |
