LENOVO TB310XU
Geekbench AI Score
381
Single Precision Score
376
Half Precision Score
711
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8786V/CT |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LENOVO TB310XU |
| Model ID | LENOVO TB310XU |
| Motherboard | t6100a_lte |
| CPU Information | |
|---|---|
| Name | ARM MT8786V/CT |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.9 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
100% |
541
100.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
870
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
853
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
1489
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
83% |
494
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.60 IPS |
|
|
Face Detection (Q)
|
95% |
1204
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
644
4.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
628
4.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1213
11.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1610
2.09 IPS |
|
|
Style Transfer (HP)
|
89% |
1547
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3236
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
782
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
191
255.2 IPS |
|
|
Text Classification (HP)
|
100% |
193
258.0 IPS |
|
|
Text Classification (Q)
|
88% |
248
334.2 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
50% |
138
4.90 IPS |
