Redfox Phone
Geekbench AI Score
162
Single Precision Score
157
Half Precision Score
197
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 01:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6762 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Redfox Phone |
| Model ID | Redfox Phone |
| Motherboard | s300v_4m_4h_sd62c1_welcome_phone_key_r1 |
| CPU Information | |
|---|---|
| Name | ARM MT6762 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
93
17.4 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.2 IPS |
|
|
Image Classification (Q)
|
100% |
143
26.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
205
3.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
304
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.16 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.34 IPS |
|
|
Object Detection (Q)
|
83% |
129
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
177
2.10 IPS |
|
|
Face Detection (HP)
|
100% |
180
2.13 IPS |
|
|
Face Detection (Q)
|
95% |
322
3.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
223
1.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
221
1.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
299
2.74 IPS |
|
|
Style Transfer (SP)
|
89% |
656
0.85 IPS |
|
|
Style Transfer (HP)
|
89% |
650
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
763
0.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
172
6.36 IPS |
|
|
Text Classification (SP)
|
100% |
77
102.6 IPS |
|
|
Text Classification (HP)
|
100% |
75
100.0 IPS |
|
|
Text Classification (Q)
|
88% |
100
134.5 IPS |
|
|
Machine Translation (SP)
|
100% |
130
2.24 IPS |
|
|
Machine Translation (HP)
|
100% |
128
2.21 IPS |
|
|
Machine Translation (Q)
|
50% |
63
2.23 IPS |
