Fairphone FP3
Geekbench AI Score
12
Single Precision Score
12
Half Precision Score
7
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 06:24 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Fairphone FP3 |
| Model ID | Fairphone FP3 |
| Motherboard | FP3 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.26 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.26 KIPS |
|
|
Image Classification (Q)
|
0% |
0
2.20 KIPS |
|
|
Image Segmentation (SP)
|
73% |
5046
87.2 IPS |
|
|
Image Segmentation (HP)
|
73% |
5251
90.8 IPS |
|
|
Image Segmentation (Q)
|
73% |
16175
279.5 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
378.2 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
379.7 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.05 KIPS |
|
|
Object Detection (SP)
|
0% |
0
493.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
492.9 IPS |
|
|
Object Detection (Q)
|
0% |
0
435.4 IPS |
|
|
Face Detection (SP)
|
0% |
0
153.4 IPS |
|
|
Face Detection (HP)
|
0% |
0
155.2 IPS |
|
|
Face Detection (Q)
|
0% |
0
289.9 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
408.7 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
414.9 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
391.5 IPS |
|
|
Style Transfer (SP)
|
32% |
55164
691.9 IPS |
|
|
Style Transfer (HP)
|
32% |
54380
682.1 IPS |
|
|
Style Transfer (Q)
|
0% |
0
2.62 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
956.2 IPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
959.3 IPS |
|
|
Image Super-Resolution (Q)
|
2% |
169
1.99 KIPS |
|
|
Text Classification (SP)
|
29% |
330
5.71 KIPS |
|
|
Text Classification (HP)
|
29% |
325
5.61 KIPS |
|
|
Text Classification (Q)
|
29% |
239
4.14 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
3.14 IPS |
|
|
Machine Translation (HP)
|
0% |
0
3.10 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.68 IPS |
