LENOVO 82L5
Geekbench AI Score
3730
Single Precision Score
3692
Half Precision Score
6685
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Tolek |
| Upload Date | January 03 2025 08:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H with Radeon Graphics |
| 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% |
2649
492.5 IPS |
|
|
Image Classification (HP)
|
100% |
2596
482.9 IPS |
|
|
Image Classification (Q)
|
100% |
4959
922.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4014
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5081
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4979
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
10799
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (Q)
|
87% |
4510
361.7 IPS |
|
|
Face Detection (SP)
|
100% |
3303
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (Q)
|
97% |
11744
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6466
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6462
49.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11819
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13748
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13760
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31455
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2942
108.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2920
107.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6775
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
2537
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (Q)
|
91% |
1969
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3158
54.4 IPS |
