LENOVO TB310FU
Geekbench AI Score
396
Single Precision Score
397
Half Precision Score
762
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 05:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8786V/N |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LENOVO TB310FU |
| Model ID | LENOVO TB310FU |
| Motherboard | t6100a_wifi |
| CPU Information | |
|---|---|
| Name | ARM MT8786V/N |
| 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 | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
36.0 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
100% |
565
105.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
682
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
889
1.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
1580
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (Q)
|
83% |
527
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (Q)
|
95% |
1253
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
627
4.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
643
4.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1420
13.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1767
2.29 IPS |
|
|
Style Transfer (HP)
|
89% |
1778
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3536
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
337
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
823
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.5 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.6 IPS |
|
|
Text Classification (Q)
|
88% |
260
350.7 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.45 IPS |
