Vortex J24
Geekbench AI Score
241
Single Precision Score
238
Half Precision Score
445
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 06:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
126
23.5 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
100% |
331
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
452
7.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
860
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.49 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.74 IPS |
|
|
Object Detection (Q)
|
83% |
315
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.90 IPS |
|
|
Face Detection (Q)
|
95% |
783
9.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
412
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
406
3.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
834
7.64 IPS |
|
|
Style Transfer (SP)
|
89% |
1095
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1070
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
1937
2.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
194
7.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
192
7.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
512
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.8 IPS |
|
|
Text Classification (HP)
|
100% |
110
147.1 IPS |
|
|
Text Classification (Q)
|
88% |
137
184.1 IPS |
|
|
Machine Translation (SP)
|
100% |
175
3.01 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.01 IPS |
