Fairphone FP5
Geekbench AI Score
357
Single Precision Score
333
Half Precision Score
705
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (Q)
|
100% |
503
93.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
523
8.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
1307
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
681
0.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
1179
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
660
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
95% |
942
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
531
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
536
4.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1069
9.79 IPS |
|
|
Style Transfer (SP)
|
89% |
1227
1.59 IPS |
|
|
Style Transfer (HP)
|
89% |
1212
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
2501
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
641
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.6 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.5 IPS |
|
|
Text Classification (Q)
|
88% |
387
521.6 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
50% |
238
8.44 IPS |
