Fairphone Fairphone 6
Geekbench AI Score
242
Single Precision Score
242
Half Precision Score
11454
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 08:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Fairphone Fairphone 6 |
| Model ID | Fairphone Fairphone 6 |
| Motherboard | fps |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
97% |
11419
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
7477
121.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
25398
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
86% |
5054
406.4 IPS |
|
|
Face Detection (SP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (HP)
|
100% |
390
4.64 IPS |
|
|
Face Detection (Q)
|
97% |
27395
326.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
320
2.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
322
2.48 IPS |
|
|
Depth Estimation (Q)
|
63% |
23919
224.0 IPS |
|
|
Style Transfer (SP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
73009
94.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18410
682.2 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.4 IPS |
|
|
Text Classification (Q)
|
93% |
4631
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
342
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (Q)
|
55% |
870
22.8 IPS |
