LENOVO 82K2
Geekbench AI Score
961
Single Precision Score
849
Half Precision Score
653
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 05:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.28 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 13.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
723
134.5 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.3 IPS |
|
|
Image Classification (Q)
|
99% |
287
53.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
376
6.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
855
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1115
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (HP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (Q)
|
85% |
341
27.4 IPS |
|
|
Face Detection (SP)
|
100% |
1477
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
97% |
1504
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1181
9.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
706
5.44 IPS |
|
|
Depth Estimation (Q)
|
63% |
636
5.96 IPS |
|
|
Style Transfer (SP)
|
100% |
859
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
1195
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
2662
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
758
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
405
544.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (Q)
|
58% |
446
10.5 IPS |
