Google dedede
Geekbench AI Score
13
Single Precision Score
13
Half Precision Score
7
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | October 23 2025 02:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google dedede |
| Model ID | Google dedede |
| Motherboard | storo360 |
| 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 | 3.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.62 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.64 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.49 KIPS |
|
|
Image Segmentation (SP)
|
73% |
10347
178.8 IPS |
|
|
Image Segmentation (HP)
|
73% |
10174
175.8 IPS |
|
|
Image Segmentation (Q)
|
73% |
21586
373.0 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
470.5 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
513.8 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.21 KIPS |
|
|
Object Detection (SP)
|
0% |
0
786.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
790.0 IPS |
|
|
Object Detection (Q)
|
0% |
0
551.9 IPS |
|
|
Face Detection (SP)
|
0% |
0
231.3 IPS |
|
|
Face Detection (HP)
|
0% |
0
233.5 IPS |
|
|
Face Detection (Q)
|
0% |
0
351.5 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
472.2 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
495.3 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
440.2 IPS |
|
|
Style Transfer (SP)
|
32% |
93513
1.17 KIPS |
|
|
Style Transfer (HP)
|
32% |
95460
1.20 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
2.52 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
109
1.29 KIPS |
|
|
Text Classification (SP)
|
29% |
220
3.80 KIPS |
|
|
Text Classification (HP)
|
29% |
218
3.77 KIPS |
|
|
Text Classification (Q)
|
29% |
146
2.52 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
4.72 IPS |
|
|
Machine Translation (HP)
|
0% |
0
4.29 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.22 IPS |
