LENOVO 21H6S1LE00
Geekbench AI Score
1257
Single Precision Score
707
Half Precision Score
2349
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 03:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 7530U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21H6S1LE00 |
| Motherboard | LENOVO 21H6S1LE00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (Q)
|
96% |
2110
394.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
2418
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2036
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1897
2.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
4909
5.80 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.1 IPS |
|
|
Object Detection (Q)
|
58% |
1440
157.3 IPS |
|
|
Face Detection (SP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
550
6.54 IPS |
|
|
Face Detection (Q)
|
96% |
3323
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2525
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1024
7.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
5005
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5091
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
4632
5.95 IPS |
|
|
Style Transfer (Q)
|
87% |
5459
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1942
72.0 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
592
790.8 IPS |
|
|
Text Classification (Q)
|
97% |
817
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
68% |
987
19.1 IPS |
