LENOVO 82B5
Geekbench AI Score
68
Single Precision Score
68
Half Precision Score
53
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | June 01 2025 02:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| Model | LENOVO 82B5 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
40
7.46 IPS |
|
|
Image Classification (HP)
|
100% |
40
7.49 IPS |
|
|
Image Classification (Q)
|
97% |
33
6.20 IPS |
|
|
Image Segmentation (SP)
|
100% |
54
0.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
53
0.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
40
0.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
60
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
62
0.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
55
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
38
3.05 IPS |
|
|
Object Detection (HP)
|
100% |
38
3.05 IPS |
|
|
Object Detection (Q)
|
87% |
32
2.55 IPS |
|
|
Face Detection (SP)
|
100% |
132
1.57 IPS |
|
|
Face Detection (HP)
|
100% |
132
1.56 IPS |
|
|
Face Detection (Q)
|
97% |
104
1.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
93
0.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
93
0.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
66
0.60 IPS |
|
|
Style Transfer (SP)
|
100% |
191
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
190
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
166
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
35
1.29 IPS |
|
|
Text Classification (SP)
|
100% |
52
69.3 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.8 IPS |
|
|
Text Classification (Q)
|
91% |
40
53.2 IPS |
|
|
Machine Translation (SP)
|
100% |
97
1.68 IPS |
|
|
Machine Translation (HP)
|
100% |
97
1.67 IPS |
|
|
Machine Translation (Q)
|
58% |
52
1.24 IPS |
