JOVI V2440
Geekbench AI Score
471
Single Precision Score
470
Half Precision Score
881
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 01:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | JOVI V2440 |
| Model ID | JOVI V2440 |
| Motherboard | k6835v2_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
100% |
688
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
735
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1137
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1130
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1480
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
83% |
583
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (Q)
|
95% |
1323
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
680
5.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
657
5.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1363
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1712
2.22 IPS |
|
|
Style Transfer (HP)
|
89% |
1710
2.22 IPS |
|
|
Style Transfer (Q)
|
98% |
3350
4.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
829
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.8 IPS |
|
|
Text Classification (HP)
|
100% |
241
321.7 IPS |
|
|
Text Classification (Q)
|
88% |
432
582.0 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.33 IPS |
|
|
Machine Translation (Q)
|
50% |
300
10.7 IPS |
