FCNT M06
Geekbench AI Score
208
Single Precision Score
208
Half Precision Score
513
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | December 10 2024 09:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
338
63.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
377
6.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
864
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.80 IPS |
|
|
Object Detection (Q)
|
87% |
362
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
307
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
97% |
727
8.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
270
2.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
691
6.27 IPS |
|
|
Style Transfer (SP)
|
100% |
471
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
471
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1331
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.3 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.4 IPS |
|
|
Text Classification (Q)
|
91% |
345
464.2 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.91 IPS |
