Fairphone FP4
Geekbench AI Score
184
Single Precision Score
279
Half Precision Score
294
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | August 19 2024 11:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
107
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
97% |
175
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
245
3.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
308
0.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
307
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.22 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
86% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.07 IPS |
|
|
Face Detection (Q)
|
97% |
432
5.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
262
2.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
449
3.46 IPS |
|
|
Depth Estimation (Q)
|
75% |
425
3.44 IPS |
|
|
Style Transfer (SP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1094
1.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
218
8.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
215
7.97 IPS |
|
|
Text Classification (SP)
|
100% |
162
215.6 IPS |
|
|
Text Classification (HP)
|
100% |
162
215.8 IPS |
|
|
Text Classification (Q)
|
91% |
296
397.6 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.20 IPS |
