LENOVO 82JQ
Geekbench AI Score
87
Single Precision Score
87
Half Precision Score
59
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 29 2025 02:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | TUXEDO OS |
| Model | LENOVO 82JQ |
| 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 | 31.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
51
9.48 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.35 IPS |
|
|
Image Classification (Q)
|
97% |
37
6.83 IPS |
|
|
Image Segmentation (SP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
48
0.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
79
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
79
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
60
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.88 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.86 IPS |
|
|
Object Detection (Q)
|
87% |
35
2.83 IPS |
|
|
Face Detection (SP)
|
100% |
165
1.96 IPS |
|
|
Face Detection (HP)
|
100% |
161
1.91 IPS |
|
|
Face Detection (Q)
|
97% |
113
1.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
113
0.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
116
0.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
72
0.66 IPS |
|
|
Style Transfer (SP)
|
100% |
237
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
239
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
184
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53
1.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53
1.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39
1.43 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.6 IPS |
|
|
Text Classification (HP)
|
100% |
66
88.5 IPS |
|
|
Text Classification (Q)
|
91% |
45
60.6 IPS |
|
|
Machine Translation (SP)
|
100% |
124
2.14 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.16 IPS |
|
|
Machine Translation (Q)
|
58% |
59
1.41 IPS |
