Fairphone FP4
Geekbench AI Score
541
Single Precision Score
542
Half Precision Score
1040
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | August 18 2024 10:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Fairphone FP4 |
| Model ID | Fairphone FP4 |
| Motherboard | FP4 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.8 IPS |
|
|
Image Classification (Q)
|
100% |
696
129.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1192
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
1731
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
87% |
715
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.12 IPS |
|
|
Face Detection (Q)
|
95% |
1630
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.74 IPS |
|
|
Depth Estimation (HP)
|
100% |
1015
7.82 IPS |
|
|
Depth Estimation (Q)
|
75% |
1816
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1976
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1972
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4057
5.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
991
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
282
377.0 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.1 IPS |
|
|
Text Classification (Q)
|
88% |
542
731.6 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
