FCNT M08
Geekbench AI Score
1153
Single Precision Score
4530
Half Precision Score
4557
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | March 06 2026 05:14 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | FCNT M08 |
| Model ID | FCNT M08 |
| Motherboard | M08 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1068
198.5 IPS |
|
|
Image Classification (HP)
|
100% |
4078
758.4 IPS |
|
|
Image Classification (Q)
|
99% |
7347
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4156
67.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1796
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9311
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17627
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
72821
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
100% |
4300
341.1 IPS |
|
|
Object Detection (Q)
|
86% |
4988
401.2 IPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
10266
122.0 IPS |
|
|
Face Detection (Q)
|
97% |
11196
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
19109
147.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
31320
297.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3457
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
678
0.87 IPS |
|
|
Style Transfer (Q)
|
30% |
519
7.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2651
97.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10181
376.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7073
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
92
122.9 IPS |
|
|
Text Classification (HP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (Q)
|
93% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
60% |
399
8.99 IPS |
