LENOVO Lenovo TB-J607Z
Geekbench AI Score
544
Single Precision Score
546
Half Precision Score
1026
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 01:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | LENOVO Lenovo TB-J607Z |
| Model ID | LENOVO Lenovo TB-J607Z |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (Q)
|
100% |
694
129.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
782
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1730
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
698
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (HP)
|
100% |
778
9.24 IPS |
|
|
Face Detection (Q)
|
95% |
1631
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
925
7.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
981
7.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1601
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2001
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2001
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4048
5.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
990
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.6 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.4 IPS |
|
|
Text Classification (Q)
|
88% |
539
726.6 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (Q)
|
50% |
353
12.5 IPS |
