Fairphone Fairphone 6
Geekbench AI Score
742
Single Precision Score
774
Half Precision Score
1280
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | June 28 2025 11:37 PM |
| Views | 5 |
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% |
502
93.4 IPS |
|
|
Image Classification (HP)
|
100% |
994
184.9 IPS |
|
|
Image Classification (Q)
|
100% |
948
176.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
1129
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1328
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1306
1.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
3248
3.85 IPS |
|
|
Object Detection (SP)
|
98% |
438
34.9 IPS |
|
|
Object Detection (HP)
|
98% |
435
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
908
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (Q)
|
95% |
1891
22.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
954
7.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1022
7.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
2046
18.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5355
6.95 IPS |
|
|
Style Transfer (HP)
|
89% |
2440
3.17 IPS |
|
|
Style Transfer (Q)
|
98% |
4543
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1232
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.4 IPS |
|
|
Text Classification (HP)
|
99% |
278
371.5 IPS |
|
|
Text Classification (Q)
|
88% |
502
677.0 IPS |
|
|
Machine Translation (SP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
