LENOVO 82K2
Geekbench AI Score
1910
Single Precision Score
993
Half Precision Score
2667
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Louis_Leenders |
| Upload Date | October 21 2024 07:03 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1144
212.8 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (Q)
|
96% |
2093
390.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
2026
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2631
3.07 IPS |
|
|
Pose Estimation (Q)
|
87% |
7295
8.62 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (Q)
|
86% |
1352
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
2792
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3656
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1498
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4138
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7900
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6681
8.59 IPS |
|
|
Style Transfer (Q)
|
87% |
10894
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2034
75.4 IPS |
|
|
Text Classification (SP)
|
100% |
1240
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
520
694.3 IPS |
|
|
Text Classification (Q)
|
97% |
1149
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1484
33.1 IPS |
