wheatek F112 Pro
Geekbench AI Score
472
Single Precision Score
495
Half Precision Score
978
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 03:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | wheatek F112 Pro |
| Model ID | wheatek F112 Pro |
| Motherboard | e393_qc_f12_t_6835_u0 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (Q)
|
100% |
685
127.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
740
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1054
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
1702
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
654
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.80 IPS |
|
|
Face Detection (Q)
|
95% |
1549
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
551
4.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
693
5.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1558
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1785
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1828
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
3887
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
929
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
282
377.0 IPS |
|
|
Text Classification (HP)
|
100% |
281
374.7 IPS |
|
|
Text Classification (Q)
|
88% |
490
660.8 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
