Fairphone Fairphone 6
Geekbench AI Score
242
Single Precision Score
243
Half Precision Score
11457
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | plusterkopp |
| Upload Date | December 03 2025 01:39 AM |
| 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% |
140
26.0 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.1 IPS |
|
|
Image Classification (Q)
|
97% |
11271
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
7444
121.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
251
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
26625
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
86% |
5010
402.8 IPS |
|
|
Face Detection (SP)
|
100% |
391
4.64 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.69 IPS |
|
|
Face Detection (Q)
|
97% |
27010
322.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
323
2.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
324
2.49 IPS |
|
|
Depth Estimation (Q)
|
63% |
23888
223.7 IPS |
|
|
Style Transfer (SP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
566
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
72976
94.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18427
682.8 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.0 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.9 IPS |
|
|
Text Classification (Q)
|
93% |
4610
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
55% |
871
22.8 IPS |
