LENOVO 82EY
Geekbench AI Score
2358
Single Precision Score
1129
Half Precision Score
2739
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 01:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 82EY |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.5 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
96% |
2085
389.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
2765
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4561
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3703
4.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
4792
5.66 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (Q)
|
58% |
1556
170.0 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
4612
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1663
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5191
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10130
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8410
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
8795
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1853
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
555
741.0 IPS |
|
|
Text Classification (Q)
|
97% |
882
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1609
31.1 IPS |
