LENOVO 20NE0001CA
Geekbench AI Score
1444
Single Precision Score
2156
Half Precision Score
1042
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:47 PM |
| Views | 18 |
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% |
574
106.8 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.1 IPS |
|
|
Image Classification (Q)
|
99% |
478
89.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
552
8.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
5469
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
10945
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
4547
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
649
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.0 IPS |
|
|
Object Detection (Q)
|
89% |
554
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
885
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3270
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5215
40.2 IPS |
|
|
Depth Estimation (Q)
|
72% |
2393
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11073
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18728
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8066
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3500
129.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1376
50.9 IPS |
|
|
Text Classification (SP)
|
100% |
558
744.8 IPS |
|
|
Text Classification (HP)
|
100% |
643
858.5 IPS |
|
|
Text Classification (Q)
|
97% |
358
480.0 IPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
272
6.14 IPS |
