Fairphone Fairphone 6
Geekbench AI Score
241
Single Precision Score
242
Half Precision Score
548
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 07:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Fairphone Fairphone 6 |
| Model ID | Fairphone Fairphone 6 |
| Motherboard | fps |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (Q)
|
99% |
351
65.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
393
6.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
252
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
956
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
87% |
376
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
386
4.59 IPS |
|
|
Face Detection (HP)
|
100% |
392
4.65 IPS |
|
|
Face Detection (Q)
|
97% |
820
9.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
322
2.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
751
6.81 IPS |
|
|
Style Transfer (SP)
|
100% |
567
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
567
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1653
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
548
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.8 IPS |
|
|
Text Classification (HP)
|
100% |
193
258.1 IPS |
|
|
Text Classification (Q)
|
91% |
341
457.9 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.35 IPS |
