LENOVO TB570FU
Geekbench AI Score
2007
Single Precision Score
1942
Half Precision Score
3076
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 17 2025 07:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB570FU |
| Model ID | LENOVO TB570FU |
| Motherboard | inception_row_wifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (Q)
|
100% |
2476
460.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2728
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3264
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2782
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6517
7.73 IPS |
|
|
Object Detection (SP)
|
98% |
1532
122.0 IPS |
|
|
Object Detection (HP)
|
98% |
1422
113.1 IPS |
|
|
Object Detection (Q)
|
83% |
2076
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1864
22.1 IPS |
|
|
Face Detection (Q)
|
95% |
3623
43.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3175
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3015
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5150
47.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6896
8.95 IPS |
|
|
Style Transfer (HP)
|
89% |
6943
9.01 IPS |
|
|
Style Transfer (Q)
|
98% |
13850
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1591
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3606
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1295
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1449
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
688
24.4 IPS |
