Google dedede
Geekbench AI Score
13
Single Precision Score
12
Half Precision Score
6
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 12 2025 06:36 PM |
| Views | 1 |
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 | madoo |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
990.8 IPS |
|
|
Image Classification (HP)
|
0% |
0
1.30 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.19 KIPS |
|
|
Image Segmentation (SP)
|
73% |
7096
122.6 IPS |
|
|
Image Segmentation (HP)
|
73% |
5045
87.2 IPS |
|
|
Image Segmentation (Q)
|
73% |
10023
173.2 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
360.5 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
387.1 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.13 KIPS |
|
|
Object Detection (SP)
|
0% |
0
668.8 IPS |
|
|
Object Detection (HP)
|
0% |
0
652.8 IPS |
|
|
Object Detection (Q)
|
0% |
0
487.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
159.1 IPS |
|
|
Face Detection (HP)
|
0% |
0
127.5 IPS |
|
|
Face Detection (Q)
|
0% |
0
160.5 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
316.6 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
527.9 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
539.5 IPS |
|
|
Style Transfer (SP)
|
32% |
112802
1.41 KIPS |
|
|
Style Transfer (HP)
|
32% |
112163
1.41 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.02 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
86
1.02 KIPS |
|
|
Text Classification (SP)
|
29% |
263
4.54 KIPS |
|
|
Text Classification (HP)
|
29% |
154
2.66 KIPS |
|
|
Text Classification (Q)
|
29% |
136
2.35 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.09 IPS |
|
|
Machine Translation (HP)
|
0% |
0
5.09 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.69 IPS |
