JOVI V2427
Geekbench AI Score
715
Single Precision Score
1155
Half Precision Score
900
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 02:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
507
94.3 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.5 IPS |
|
|
Image Classification (Q)
|
99% |
764
142.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
913
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3290
3.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
6309
7.38 IPS |
|
|
Pose Estimation (Q)
|
97% |
6124
7.17 IPS |
|
|
Object Detection (SP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (HP)
|
99% |
627
49.8 IPS |
|
|
Object Detection (Q)
|
82% |
578
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2018
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
1494
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1951
15.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3578
27.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2745
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4180
5.37 IPS |
|
|
Style Transfer (HP)
|
100% |
8725
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8555
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1266
46.9 IPS |
|
|
Text Classification (SP)
|
35% |
28
272.1 IPS |
|
|
Text Classification (HP)
|
35% |
34
310.0 IPS |
|
|
Text Classification (Q)
|
35% |
31
299.3 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
97% |
305
5.27 IPS |
|
|
Machine Translation (Q)
|
49% |
103
3.89 IPS |
