LENOVO 82K2
Geekbench AI Score
2094
Single Precision Score
1094
Half Precision Score
3053
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 07:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 82K2 |
| 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% |
1425
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
96% |
4073
760.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1793
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3209
3.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
9844
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1735
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
58% |
2220
242.6 IPS |
|
|
Face Detection (SP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
5150
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1699
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7798
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9059
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8591
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
7830
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1426
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2375
88.0 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
669
892.9 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1458
28.2 IPS |
