Google dedede
Geekbench AI Score
14
Single Precision Score
14
Half Precision Score
7
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 05:22 AM |
| 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 | galnat360 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.62 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.84 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.82 KIPS |
|
|
Image Segmentation (SP)
|
73% |
10762
186.0 IPS |
|
|
Image Segmentation (HP)
|
73% |
10915
188.6 IPS |
|
|
Image Segmentation (Q)
|
73% |
25098
433.7 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
617.1 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
620.2 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.47 KIPS |
|
|
Object Detection (SP)
|
0% |
0
921.7 IPS |
|
|
Object Detection (HP)
|
0% |
0
927.3 IPS |
|
|
Object Detection (Q)
|
0% |
0
671.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
282.1 IPS |
|
|
Face Detection (HP)
|
0% |
0
278.3 IPS |
|
|
Face Detection (Q)
|
0% |
0
429.2 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
567.0 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
563.9 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
514.3 IPS |
|
|
Style Transfer (SP)
|
32% |
107330
1.35 KIPS |
|
|
Style Transfer (HP)
|
32% |
106971
1.34 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.00 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
129
1.52 KIPS |
|
|
Text Classification (SP)
|
29% |
266
4.59 KIPS |
|
|
Text Classification (HP)
|
29% |
264
4.55 KIPS |
|
|
Text Classification (Q)
|
29% |
169
2.91 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.51 IPS |
|
|
Machine Translation (HP)
|
0% |
0
5.49 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.99 IPS |
