JOVI V2427
Geekbench AI Score
595
Single Precision Score
587
Half Precision Score
1126
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 01:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | JOVI V2427 |
| Model ID | JOVI V2427 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
100% |
893
166.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
800
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1177
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
2584
3.07 IPS |
|
|
Object Detection (SP)
|
98% |
353
28.1 IPS |
|
|
Object Detection (HP)
|
98% |
364
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
756
61.0 IPS |
|
|
Face Detection (SP)
|
100% |
677
8.05 IPS |
|
|
Face Detection (HP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (Q)
|
95% |
1690
20.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
857
6.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
880
6.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
2051
18.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2231
2.90 IPS |
|
|
Style Transfer (HP)
|
89% |
2252
2.92 IPS |
|
|
Style Transfer (Q)
|
98% |
5276
6.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1386
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.6 IPS |
|
|
Text Classification (HP)
|
99% |
239
318.9 IPS |
|
|
Text Classification (Q)
|
88% |
411
554.2 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
50% |
227
8.07 IPS |
