LENOVO 21KK
Geekbench AI Score
876
Single Precision Score
443
Half Precision Score
1415
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 21KK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
96% |
1318
246.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
761
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1122
1.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
2785
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
58% |
864
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
1241
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (Q)
|
96% |
2203
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1679
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
648
4.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
3145
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3372
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2983
3.84 IPS |
|
|
Style Transfer (Q)
|
87% |
4954
6.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
869
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.5 IPS |
|
|
Text Classification (HP)
|
100% |
240
319.7 IPS |
|
|
Text Classification (Q)
|
97% |
507
679.3 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
68% |
882
17.0 IPS |
