LENOVO Lenovo TB-J607Z
Geekbench AI Score
552
Single Precision Score
550
Half Precision Score
1035
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 01:46 AM |
| Views | 1 |
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
45.3 IPS |
|
|
Image Classification (Q)
|
100% |
703
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1193
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1190
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
1731
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
705
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
772
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
774
9.20 IPS |
|
|
Face Detection (Q)
|
95% |
1639
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1029
7.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1016
7.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
1600
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2001
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2000
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4056
5.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
991
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.9 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.8 IPS |
|
|
Text Classification (Q)
|
88% |
553
746.0 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
50% |
359
12.8 IPS |
