LENOVO 21A4
Geekbench AI Score
2030
Single Precision Score
581
Half Precision Score
2236
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | purity |
| Upload Date | August 24 2024 05:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21A4 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (Q)
|
97% |
2430
453.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
1555
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (Q)
|
87% |
6874
8.12 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
86% |
1410
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
235
2.79 IPS |
|
|
Face Detection (Q)
|
96% |
2331
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4092
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
750
5.78 IPS |
|
|
Depth Estimation (Q)
|
76% |
4144
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8434
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6857
8.81 IPS |
|
|
Style Transfer (Q)
|
87% |
9762
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1828
67.7 IPS |
|
|
Text Classification (SP)
|
100% |
1491
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
602
804.1 IPS |
|
|
Text Classification (Q)
|
97% |
367
491.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
60% |
1351
30.1 IPS |
