Fairphone Fairphone 6
Geekbench AI Score
753
Single Precision Score
794
Half Precision Score
1307
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 11:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
392
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
100% |
869
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
845
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2241
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
5926
7.03 IPS |
|
|
Object Detection (SP)
|
98% |
425
33.8 IPS |
|
|
Object Detection (HP)
|
98% |
415
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
879
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
800
9.50 IPS |
|
|
Face Detection (Q)
|
95% |
1835
21.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2002
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
964
7.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1945
17.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2459
3.19 IPS |
|
|
Style Transfer (HP)
|
89% |
4120
5.35 IPS |
|
|
Style Transfer (Q)
|
98% |
4481
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1229
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.5 IPS |
|
|
Text Classification (HP)
|
99% |
319
425.7 IPS |
|
|
Text Classification (Q)
|
88% |
573
772.8 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
338
12.0 IPS |
