LENOVO 82L5
Geekbench AI Score
2158
Single Precision Score
558
Half Precision Score
3417
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Tolek |
| Upload Date | January 03 2025 08:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | LENOVO 82L5 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 13.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1535
285.5 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
94% |
3890
726.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1877
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4133
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3469
4.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
8905
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
58% |
2386
260.7 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
222
2.64 IPS |
|
|
Face Detection (Q)
|
96% |
6380
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4950
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
704
5.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
7891
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10352
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9341
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
8851
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1892
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
1469
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
392
523.0 IPS |
|
|
Text Classification (Q)
|
97% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
68% |
1494
28.9 IPS |
