Freeski C109
Geekbench AI Score
54
Single Precision Score
75
Half Precision Score
76
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Freeski C109 |
| Model ID | Freeski C109 |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
36
6.76 IPS |
|
|
Image Classification (HP)
|
100% |
68
12.6 IPS |
|
|
Image Classification (Q)
|
99% |
66
12.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
51
0.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
85
1.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
83
1.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
33
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
39
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
39
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
30
2.38 IPS |
|
|
Object Detection (HP)
|
100% |
51
4.01 IPS |
|
|
Object Detection (Q)
|
83% |
50
4.03 IPS |
|
|
Face Detection (SP)
|
100% |
115
1.37 IPS |
|
|
Face Detection (HP)
|
100% |
177
2.10 IPS |
|
|
Face Detection (Q)
|
97% |
168
2.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
63
0.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
83
0.64 IPS |
|
|
Depth Estimation (Q)
|
62% |
67
0.64 IPS |
|
|
Style Transfer (SP)
|
100% |
126
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
174
0.22 IPS |
|
|
Style Transfer (Q)
|
98% |
173
0.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33
1.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50
1.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
49
1.83 IPS |
|
|
Text Classification (SP)
|
100% |
49
64.9 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.4 IPS |
|
|
Text Classification (Q)
|
91% |
93
124.9 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (HP)
|
100% |
83
1.42 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.77 IPS |
