LENOVO TB710FU
Geekbench AI Score
2144
Single Precision Score
2145
Half Precision Score
3234
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 05:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB710FU |
| Model ID | LENOVO TB710FU |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 1 Core @ 2.27 GHz |
| Cluster 2 | 4 Cores @ 2.96 GHz |
| Cluster 3 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1471
273.5 IPS |
|
|
Image Classification (HP)
|
100% |
1729
321.5 IPS |
|
|
Image Classification (Q)
|
100% |
2704
502.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3187
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3572
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
6898
8.18 IPS |
|
|
Object Detection (SP)
|
98% |
1553
123.6 IPS |
|
|
Object Detection (HP)
|
98% |
1439
114.5 IPS |
|
|
Object Detection (Q)
|
83% |
2244
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (Q)
|
95% |
4855
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3383
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4891
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7595
9.86 IPS |
|
|
Style Transfer (HP)
|
89% |
7439
9.66 IPS |
|
|
Style Transfer (Q)
|
98% |
14269
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1561
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3365
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
632
842.9 IPS |
|
|
Text Classification (HP)
|
99% |
628
838.8 IPS |
|
|
Text Classification (Q)
|
88% |
1061
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1518
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
776
27.6 IPS |
