JOVI V2427
Geekbench AI Score
114
Single Precision Score
115
Half Precision Score
13030
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 02:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
61
11.4 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.4 IPS |
|
|
Image Classification (Q)
|
97% |
11249
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
76
1.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
7784
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
57458
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
65
5.16 IPS |
|
|
Object Detection (HP)
|
100% |
66
5.25 IPS |
|
|
Object Detection (Q)
|
86% |
5061
407.0 IPS |
|
|
Face Detection (SP)
|
100% |
143
1.70 IPS |
|
|
Face Detection (HP)
|
100% |
143
1.70 IPS |
|
|
Face Detection (Q)
|
97% |
22362
266.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
158
1.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
158
1.22 IPS |
|
|
Depth Estimation (Q)
|
63% |
27384
256.4 IPS |
|
|
Style Transfer (SP)
|
100% |
296
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
294
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
114666
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
87
3.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
88
3.24 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
27743
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
91
121.0 IPS |
|
|
Text Classification (HP)
|
100% |
92
123.1 IPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
163
2.81 IPS |
|
|
Machine Translation (HP)
|
100% |
166
2.86 IPS |
|
|
Machine Translation (Q)
|
55% |
708
18.6 IPS |
