CHOFSLIA A6
Geekbench AI Score
52
Single Precision Score
73
Half Precision Score
75
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 02:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | CHOFSLIA A6 |
| Model ID | CHOFSLIA A6 |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
35
6.51 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.3 IPS |
|
|
Image Classification (Q)
|
99% |
64
12.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
44
0.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
73
1.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
34
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
40
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
40
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
29
2.31 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.97 IPS |
|
|
Object Detection (Q)
|
83% |
49
3.97 IPS |
|
|
Face Detection (SP)
|
100% |
111
1.32 IPS |
|
|
Face Detection (HP)
|
100% |
171
2.03 IPS |
|
|
Face Detection (Q)
|
97% |
162
1.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
63
0.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
83
0.64 IPS |
|
|
Depth Estimation (Q)
|
62% |
68
0.64 IPS |
|
|
Style Transfer (SP)
|
100% |
126
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
175
0.23 IPS |
|
|
Style Transfer (Q)
|
98% |
175
0.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32
1.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50
1.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
50
1.84 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.7 IPS |
|
|
Text Classification (HP)
|
100% |
48
64.3 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.7 IPS |
|
|
Machine Translation (SP)
|
100% |
81
1.39 IPS |
|
|
Machine Translation (HP)
|
100% |
81
1.39 IPS |
|
|
Machine Translation (Q)
|
57% |
72
1.76 IPS |
