Fairphone Fairphone 6
Geekbench AI Score
1348
Single Precision Score
1349
Half Precision Score
2678
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | plusterkopp |
| Upload Date | December 03 2025 01:03 AM |
| Views | 2 |
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% |
974
181.1 IPS |
|
|
Image Classification (HP)
|
100% |
1009
187.6 IPS |
|
|
Image Classification (Q)
|
100% |
1904
354.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2154
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2256
2.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
5860
6.95 IPS |
|
|
Object Detection (SP)
|
98% |
974
77.5 IPS |
|
|
Object Detection (HP)
|
98% |
980
78.0 IPS |
|
|
Object Detection (Q)
|
83% |
1741
140.6 IPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1541
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
4362
52.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2002
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2005
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4683
42.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5405
7.02 IPS |
|
|
Style Transfer (HP)
|
89% |
5358
6.96 IPS |
|
|
Style Transfer (Q)
|
98% |
12609
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3021
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
564
753.4 IPS |
|
|
Text Classification (HP)
|
99% |
559
746.0 IPS |
|
|
Text Classification (Q)
|
88% |
1086
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
537
19.1 IPS |
