Blaupunkt BP_T6108X AllWinner A100 Blaupunkt BP_T6108X
Geekbench AI Score
105
Single Precision Score
123
Half Precision Score
135
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 18 2025 05:34 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Blaupunkt BP_T6108X |
| Model ID | Blaupunkt BP_T6108X |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.51 GHz |
| Cluster 1 | 4 Cores @ 1.51 GHz |
| Memory Information | |
|---|---|
| Size | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
5.96 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.3 IPS |
|
|
Image Classification (Q)
|
100% |
106
19.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
148
2.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
326
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
315
0.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
242
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
67
5.34 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.43 IPS |
|
|
Object Detection (Q)
|
83% |
106
8.57 IPS |
|
|
Face Detection (SP)
|
100% |
162
1.93 IPS |
|
|
Face Detection (HP)
|
100% |
163
1.94 IPS |
|
|
Face Detection (Q)
|
95% |
281
3.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
212
1.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
198
1.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
238
2.18 IPS |
|
|
Style Transfer (SP)
|
89% |
556
0.72 IPS |
|
|
Style Transfer (HP)
|
89% |
551
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
249
0.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45
1.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49
1.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
56
2.08 IPS |
|
|
Text Classification (SP)
|
100% |
28
37.8 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.1 IPS |
|
|
Text Classification (Q)
|
88% |
95
128.0 IPS |
|
|
Machine Translation (SP)
|
100% |
113
1.95 IPS |
|
|
Machine Translation (HP)
|
100% |
111
1.90 IPS |
|
|
Machine Translation (Q)
|
50% |
57
2.03 IPS |
