LENOVO Lenovo TB-J607Z
Geekbench AI Score
552
Single Precision Score
551
Half Precision Score
1035
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 12 2025 08:59 PM |
| 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% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.5 IPS |
|
|
Image Classification (Q)
|
100% |
705
131.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
785
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1188
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1210
1.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
1731
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
704
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
95% |
1639
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1022
7.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1608
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2002
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2001
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4052
5.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
994
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.7 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.9 IPS |
|
|
Text Classification (Q)
|
88% |
552
744.7 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
