JOVI J2506
Geekbench AI Score
146
Single Precision Score
225
Half Precision Score
207
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 27 2026 02:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | JOVI J2506 |
| Model ID | JOVI J2506 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.7 IPS |
|
|
Image Classification (Q)
|
99% |
173
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
227
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
870
1.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
861
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.10 IPS |
|
|
Object Detection (HP)
|
99% |
142
11.3 IPS |
|
|
Object Detection (Q)
|
85% |
134
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.87 IPS |
|
|
Face Detection (HP)
|
100% |
513
6.10 IPS |
|
|
Face Detection (Q)
|
97% |
467
5.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
323
2.49 IPS |
|
|
Depth Estimation (HP)
|
98% |
495
3.83 IPS |
|
|
Depth Estimation (Q)
|
63% |
409
3.78 IPS |
|
|
Style Transfer (SP)
|
100% |
760
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1198
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1159
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
182
6.73 IPS |
|
|
Text Classification (SP)
|
35% |
6
56.3 IPS |
|
|
Text Classification (HP)
|
35% |
9
84.6 IPS |
|
|
Text Classification (Q)
|
35% |
9
82.2 IPS |
|
|
Machine Translation (SP)
|
100% |
95
1.63 IPS |
|
|
Machine Translation (HP)
|
97% |
123
2.12 IPS |
|
|
Machine Translation (Q)
|
64% |
91
1.86 IPS |
