Fairphone FP5
Geekbench AI Score
228
Single Precision Score
229
Half Precision Score
562
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 11:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Fairphone FP5 |
| Model ID | Fairphone FP5 |
| Motherboard | FP5 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
99% |
375
69.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
422
6.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
960
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
401
32.2 IPS |
|
|
Face Detection (SP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (Q)
|
97% |
805
9.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
296
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
296
2.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
727
6.60 IPS |
|
|
Style Transfer (SP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
506
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1392
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
146
5.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.5 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.3 IPS |
|
|
Text Classification (Q)
|
91% |
390
524.8 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.53 IPS |
