LENOVO TB710FU
Geekbench AI Score
2383
Single Precision Score
2359
Half Precision Score
3841
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 08:41 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% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
1873
348.3 IPS |
|
|
Image Classification (Q)
|
100% |
3098
576.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3438
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3491
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3263
3.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
7599
9.01 IPS |
|
|
Object Detection (SP)
|
98% |
1816
144.5 IPS |
|
|
Object Detection (HP)
|
98% |
1785
142.1 IPS |
|
|
Object Detection (Q)
|
83% |
2804
226.5 IPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (Q)
|
95% |
6188
73.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3803
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3824
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6195
56.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8463
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8271
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16282
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4271
158.3 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1313
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1661
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
880
31.2 IPS |
