Vortex A24
Geekbench AI Score
209
Single Precision Score
211
Half Precision Score
404
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 24 2024 08:34 PM |
| Views | 363 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Vortex A24 |
| Model ID | Vortex A24 |
| 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 | 2.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.2 IPS |
|
|
Image Classification (Q)
|
100% |
308
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
425
6.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
862
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.04 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.23 IPS |
|
|
Object Detection (Q)
|
87% |
309
24.8 IPS |
|
|
Face Detection (SP)
|
100% |
279
3.31 IPS |
|
|
Face Detection (HP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (Q)
|
95% |
434
5.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
347
2.67 IPS |
|
|
Depth Estimation (HP)
|
100% |
358
2.75 IPS |
|
|
Depth Estimation (Q)
|
75% |
826
6.69 IPS |
|
|
Style Transfer (SP)
|
89% |
960
1.25 IPS |
|
|
Style Transfer (HP)
|
89% |
954
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
1816
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
477
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
95
127.0 IPS |
|
|
Text Classification (HP)
|
100% |
96
127.7 IPS |
|
|
Text Classification (Q)
|
88% |
127
171.5 IPS |
|
|
Machine Translation (SP)
|
100% |
156
2.69 IPS |
|
|
Machine Translation (HP)
|
100% |
163
2.81 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.00 IPS |
