Lenovo TB320FC
Geekbench AI Score
492
Single Precision Score
474
Half Precision Score
1190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 06:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Lenovo TB320FC |
| Model ID | Lenovo TB320FC |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.1 IPS |
|
|
Image Classification (Q)
|
100% |
1187
220.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1427
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
2175
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
821
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
632
7.50 IPS |
|
|
Face Detection (HP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (Q)
|
95% |
1611
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
866
6.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
846
6.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
1794
16.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1658
2.15 IPS |
|
|
Style Transfer (HP)
|
89% |
1647
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4382
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1056
39.1 IPS |
|
|
Text Classification (SP)
|
100% |
334
445.9 IPS |
|
|
Text Classification (HP)
|
100% |
197
263.1 IPS |
|
|
Text Classification (Q)
|
88% |
375
505.5 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.69 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
50% |
377
13.4 IPS |
