Google dedede
Geekbench AI Score
17
Single Precision Score
17
Half Precision Score
10
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | October 23 2025 02:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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
1.21 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.28 KIPS |
|
|
Image Classification (Q)
|
0% |
0
965.2 IPS |
|
|
Image Segmentation (SP)
|
73% |
10041
173.5 IPS |
|
|
Image Segmentation (HP)
|
73% |
9834
170.0 IPS |
|
|
Image Segmentation (Q)
|
73% |
1177
20.3 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
449.9 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
492.2 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
220.9 IPS |
|
|
Object Detection (SP)
|
0% |
0
498.8 IPS |
|
|
Object Detection (HP)
|
0% |
0
517.7 IPS |
|
|
Object Detection (Q)
|
0% |
0
568.4 IPS |
|
|
Face Detection (SP)
|
0% |
0
224.7 IPS |
|
|
Face Detection (HP)
|
0% |
0
219.7 IPS |
|
|
Face Detection (Q)
|
0% |
0
98.8 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
627.2 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
626.0 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
587.6 IPS |
|
|
Style Transfer (SP)
|
32% |
59458
745.8 IPS |
|
|
Style Transfer (HP)
|
32% |
64084
803.8 IPS |
|
|
Style Transfer (Q)
|
32% |
18519
231.0 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
1% |
0
377.7 IPS |
|
|
Text Classification (SP)
|
100% |
45
59.8 IPS |
|
|
Text Classification (HP)
|
100% |
45
59.6 IPS |
|
|
Text Classification (Q)
|
91% |
23
30.9 IPS |
|
|
Machine Translation (SP)
|
100% |
79
1.36 IPS |
|
|
Machine Translation (HP)
|
100% |
77
1.33 IPS |
|
|
Machine Translation (Q)
|
57% |
27
0.66 IPS |
