FCNT M06
Geekbench AI Score
209
Single Precision Score
210
Half Precision Score
10796
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | December 10 2024 09:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
123
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
97% |
9889
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
7408
120.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
31048
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (Q)
|
86% |
4718
379.4 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.63 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
97% |
28137
335.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
270
2.08 IPS |
|
|
Depth Estimation (Q)
|
63% |
22691
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
469
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
469
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
71798
92.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17721
656.6 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.1 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.2 IPS |
|
|
Text Classification (Q)
|
93% |
3223
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (Q)
|
55% |
766
20.1 IPS |
