LENOVO 82L5
Geekbench AI Score
1558
Single Precision Score
1549
Half Precision Score
1168
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Tolek |
| Upload Date | January 03 2025 08:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.1 IPS |
|
|
Image Classification (Q)
|
99% |
921
171.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
872
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1617
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1601
1.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2108
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
100% |
1222
97.0 IPS |
|
|
Object Detection (Q)
|
85% |
728
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
1598
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1968
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1512
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1490
11.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1492
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1594
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1599
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3706
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1163
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
1953
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
637
856.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1669
28.8 IPS |
|
|
Machine Translation (Q)
|
58% |
479
11.2 IPS |
