Blaupunkt BP_T6108X AllWinner A100 Blaupunkt BP_T6108X
Geekbench AI Score
24
Single Precision Score
23
Half Precision Score
22
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 19 2025 03:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
14
2.67 IPS |
|
|
Image Classification (HP)
|
100% |
15
2.84 IPS |
|
|
Image Classification (Q)
|
99% |
15
2.78 IPS |
|
|
Image Segmentation (SP)
|
100% |
18
0.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
20
0.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
20
0.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
23
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
20
0.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
18
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
11
0.85 IPS |
|
|
Object Detection (HP)
|
100% |
11
0.86 IPS |
|
|
Object Detection (Q)
|
85% |
11
0.86 IPS |
|
|
Face Detection (SP)
|
100% |
38
0.45 IPS |
|
|
Face Detection (HP)
|
100% |
41
0.48 IPS |
|
|
Face Detection (Q)
|
97% |
38
0.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
31
0.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
28
0.22 IPS |
|
|
Depth Estimation (Q)
|
63% |
22
0.21 IPS |
|
|
Style Transfer (SP)
|
100% |
70
0.09 IPS |
|
|
Style Transfer (HP)
|
100% |
60
0.08 IPS |
|
|
Style Transfer (Q)
|
98% |
56
0.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15
0.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13
0.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12
0.46 IPS |
|
|
Text Classification (SP)
|
100% |
25
32.8 IPS |
|
|
Text Classification (HP)
|
100% |
24
32.6 IPS |
|
|
Text Classification (Q)
|
91% |
35
46.4 IPS |
|
|
Machine Translation (SP)
|
100% |
42
0.73 IPS |
|
|
Machine Translation (HP)
|
100% |
42
0.73 IPS |
|
|
Machine Translation (Q)
|
57% |
33
0.81 IPS |
