Fairphone Fairphone 6
Geekbench AI Score
616
Single Precision Score
1073
Half Precision Score
892
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | plusterkopp |
| Upload Date | December 03 2025 01:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
445
82.7 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
100% |
713
132.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2238
2.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
4015
4.71 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
99% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
85% |
646
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
2214
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1456
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2958
22.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
2257
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2895
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
6658
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6547
8.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1226
45.4 IPS |
|
|
Text Classification (SP)
|
35% |
22
217.8 IPS |
|
|
Text Classification (HP)
|
35% |
33
298.3 IPS |
|
|
Text Classification (Q)
|
33% |
26
293.3 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.78 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
48% |
149
5.71 IPS |
