LENOVO 82RG
Geekbench AI Score
2574
Single Precision Score
1240
Half Precision Score
2896
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | October 13 2024 03:40 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 82RG |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1841
342.4 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (Q)
|
96% |
3112
581.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1831
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4579
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3796
4.43 IPS |
|
|
Pose Estimation (Q)
|
87% |
10642
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.3 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
1741
140.0 IPS |
|
|
Face Detection (SP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (Q)
|
96% |
3202
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6033
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1901
14.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5541
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12272
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10328
13.3 IPS |
|
|
Style Transfer (Q)
|
87% |
14913
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2453
90.9 IPS |
|
|
Text Classification (SP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
672
897.5 IPS |
|
|
Text Classification (Q)
|
97% |
395
528.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (Q)
|
60% |
1534
34.2 IPS |
