Fairphone Fairphone 6
Geekbench AI Score
729
Single Precision Score
714
Half Precision Score
1308
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 08:37 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 | FP6 |
| 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% |
1026
190.8 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
100% |
878
163.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1124
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1307
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1261
1.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
2283
2.71 IPS |
|
|
Object Detection (SP)
|
98% |
436
34.7 IPS |
|
|
Object Detection (HP)
|
98% |
412
32.8 IPS |
|
|
Object Detection (Q)
|
83% |
909
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
1891
22.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1001
7.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
2062
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2440
3.17 IPS |
|
|
Style Transfer (HP)
|
89% |
2436
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
4565
5.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1229
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
256
342.0 IPS |
|
|
Text Classification (HP)
|
99% |
282
376.7 IPS |
|
|
Text Classification (Q)
|
88% |
588
792.5 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
558
19.8 IPS |
