LENOVO Ideapad 5 pro with ryzen 7 5800h LENOVO 82L5
Geekbench AI Score
2288
Single Precision Score
1114
Half Precision Score
4169
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paz_levi |
| Upload Date | August 22 2025 07:40 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82L5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
96% |
4083
762.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
4674
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3486
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2999
3.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
8814
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (Q)
|
58% |
2688
293.7 IPS |
|
|
Face Detection (SP)
|
100% |
2032
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
5690
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4986
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1585
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7250
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9123
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7830
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
9788
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3439
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
720
960.5 IPS |
|
|
Text Classification (Q)
|
97% |
1279
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1979
38.2 IPS |
