Vortex J24
Geekbench AI Score
112
Single Precision Score
110
Half Precision Score
81
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 06:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Vortex J24 |
| Model ID | Vortex J24 |
| Motherboard | s9863a1h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.60 GHz |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
68
12.7 IPS |
|
|
Image Classification (HP)
|
100% |
68
12.6 IPS |
|
|
Image Classification (Q)
|
100% |
57
10.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
80
1.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
78
1.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
72
1.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
353
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
346
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
65
5.17 IPS |
|
|
Object Detection (HP)
|
100% |
62
4.95 IPS |
|
|
Object Detection (Q)
|
85% |
55
4.41 IPS |
|
|
Face Detection (SP)
|
100% |
222
2.64 IPS |
|
|
Face Detection (HP)
|
100% |
219
2.61 IPS |
|
|
Face Detection (Q)
|
97% |
166
1.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
233
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
224
1.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
179
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
625
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
599
0.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
145
5.36 IPS |
|
|
Text Classification (SP)
|
35% |
8
73.1 IPS |
|
|
Text Classification (HP)
|
35% |
8
73.1 IPS |
|
|
Text Classification (Q)
|
32% |
5
67.6 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.10 IPS |
|
|
Machine Translation (HP)
|
100% |
62
1.07 IPS |
|
|
Machine Translation (Q)
|
41% |
13
0.84 IPS |
