LENOVO TB710FU
Geekbench AI Score
2482
Single Precision Score
2420
Half Precision Score
3823
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 05:06 PM |
| Views | 1 |
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% |
1899
353.1 IPS |
|
|
Image Classification (HP)
|
100% |
1849
343.9 IPS |
|
|
Image Classification (Q)
|
100% |
3238
602.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3620
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3430
4.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
7975
9.46 IPS |
|
|
Object Detection (SP)
|
98% |
1885
150.0 IPS |
|
|
Object Detection (HP)
|
98% |
1728
137.5 IPS |
|
|
Object Detection (Q)
|
83% |
2708
218.8 IPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
3820
45.4 IPS |
|
|
Face Detection (Q)
|
95% |
6021
71.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3885
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3850
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6363
58.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8717
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8457
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16373
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3932
145.7 IPS |
|
|
Text Classification (SP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1242
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
862
30.6 IPS |
