Google dedede
Geekbench AI Score
61
Single Precision Score
61
Half Precision Score
35
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 06:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google dedede |
| Model ID | Google dedede |
| Motherboard | awadoron |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
36
6.67 IPS |
|
|
Image Classification (HP)
|
100% |
36
6.65 IPS |
|
|
Image Classification (Q)
|
99% |
21
3.90 IPS |
|
|
Image Segmentation (SP)
|
100% |
46
0.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
47
0.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
24
0.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
62
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
62
0.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
49
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
35
2.78 IPS |
|
|
Object Detection (HP)
|
100% |
35
2.78 IPS |
|
|
Object Detection (Q)
|
84% |
22
1.74 IPS |
|
|
Face Detection (SP)
|
100% |
105
1.25 IPS |
|
|
Face Detection (HP)
|
100% |
105
1.25 IPS |
|
|
Face Detection (Q)
|
97% |
45
0.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
85
0.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
85
0.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
49
0.45 IPS |
|
|
Style Transfer (SP)
|
100% |
155
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
155
0.20 IPS |
|
|
Style Transfer (Q)
|
98% |
136
0.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39
1.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
28
1.03 IPS |
|
|
Text Classification (SP)
|
100% |
46
61.2 IPS |
|
|
Text Classification (HP)
|
100% |
46
61.1 IPS |
|
|
Text Classification (Q)
|
91% |
23
30.8 IPS |
|
|
Machine Translation (SP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (Q)
|
57% |
28
0.68 IPS |
