Vortex J24
Geekbench AI Score
233
Single Precision Score
233
Half Precision Score
437
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 20 2024 08:34 PM |
| Views | 444 |
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% |
113
21.0 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (Q)
|
100% |
317
59.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
476
7.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
517
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
865
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.44 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.70 IPS |
|
|
Object Detection (Q)
|
83% |
301
24.3 IPS |
|
|
Face Detection (SP)
|
100% |
322
3.82 IPS |
|
|
Face Detection (HP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (Q)
|
95% |
816
9.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
394
3.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
410
3.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
764
6.99 IPS |
|
|
Style Transfer (SP)
|
89% |
1034
1.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1075
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
1997
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
463
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.5 IPS |
|
|
Text Classification (HP)
|
100% |
107
143.5 IPS |
|
|
Text Classification (Q)
|
88% |
134
180.7 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.92 IPS |
|
|
Machine Translation (HP)
|
100% |
171
2.95 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.01 IPS |
