Fairphone FP4
Geekbench AI Score
185
Single Precision Score
281
Half Precision Score
291
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | August 18 2024 11:17 PM |
| Views | 4 |
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
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
97% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
211
3.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
311
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.24 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (Q)
|
86% |
135
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.93 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.06 IPS |
|
|
Face Detection (Q)
|
97% |
438
5.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
262
2.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
449
3.46 IPS |
|
|
Depth Estimation (Q)
|
75% |
431
3.48 IPS |
|
|
Style Transfer (SP)
|
100% |
506
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1115
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
1108
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
218
8.07 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.1 IPS |
|
|
Text Classification (Q)
|
91% |
294
395.6 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.21 IPS |
