FCNT M06
Geekbench AI Score
686
Single Precision Score
683
Half Precision Score
1329
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | December 10 2024 07:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | FCNT M06 |
| Model ID | FCNT M06 |
| Motherboard | M06 |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
407
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
100% |
1399
260.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1599
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1904
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
3312
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
1238
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
947
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
3030
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1392
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1408
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2996
27.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3247
4.22 IPS |
|
|
Style Transfer (HP)
|
89% |
3219
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
7528
9.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
776
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.7 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.2 IPS |
|
|
Text Classification (Q)
|
88% |
261
351.8 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
50% |
169
5.98 IPS |
