JOVI J2506
Geekbench AI Score
276
Single Precision Score
264
Half Precision Score
285
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 27 2026 02:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
199
36.9 IPS |
|
|
Image Classification (Q)
|
99% |
298
55.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
474
7.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
845
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
910
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
496
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.89 IPS |
|
|
Object Detection (Q)
|
85% |
149
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (HP)
|
100% |
259
3.08 IPS |
|
|
Face Detection (Q)
|
97% |
399
4.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
362
2.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
338
3.12 IPS |
|
|
Style Transfer (SP)
|
89% |
840
1.09 IPS |
|
|
Style Transfer (HP)
|
89% |
843
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
808
1.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
187
6.93 IPS |
|
|
Text Classification (SP)
|
100% |
116
154.6 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.3 IPS |
|
|
Text Classification (Q)
|
93% |
129
173.0 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (HP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (Q)
|
55% |
132
3.54 IPS |
