LENOVO 82SJ
Geekbench AI Score
2382
Single Precision Score
1126
Half Precision Score
3082
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | allanburk |
| Upload Date | January 01 2025 12:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 6600HS Creator Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82SJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600HS Creator Edition |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.0 IPS |
|
|
Image Classification (Q)
|
96% |
3737
697.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1647
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4095
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3446
4.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
8446
9.98 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
58% |
1989
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
5828
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4714
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1733
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7675
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9564
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6808
8.75 IPS |
|
|
Style Transfer (Q)
|
87% |
12492
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2052
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1452
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.0 IPS |
|
|
Text Classification (Q)
|
97% |
383
513.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
68% |
1704
32.9 IPS |
