Google dedede
Geekbench AI Score
17
Single Precision Score
17
Half Precision Score
10
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 09:27 AM |
| Views | 2 |
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 | 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
1.46 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.46 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.16 KIPS |
|
|
Image Segmentation (SP)
|
73% |
11063
191.2 IPS |
|
|
Image Segmentation (HP)
|
73% |
10931
188.9 IPS |
|
|
Image Segmentation (Q)
|
73% |
1144
19.8 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
602.2 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
573.7 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
232.6 IPS |
|
|
Object Detection (SP)
|
0% |
0
638.9 IPS |
|
|
Object Detection (HP)
|
0% |
0
619.2 IPS |
|
|
Object Detection (Q)
|
0% |
0
638.4 IPS |
|
|
Face Detection (SP)
|
0% |
0
261.9 IPS |
|
|
Face Detection (HP)
|
0% |
0
261.4 IPS |
|
|
Face Detection (Q)
|
0% |
0
105.7 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
718.2 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
779.9 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
754.0 IPS |
|
|
Style Transfer (SP)
|
32% |
77076
966.7 IPS |
|
|
Style Transfer (HP)
|
32% |
79574
998.1 IPS |
|
|
Style Transfer (Q)
|
32% |
18447
230.1 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
1% |
0
416.8 IPS |
|
|
Text Classification (SP)
|
100% |
46
61.0 IPS |
|
|
Text Classification (HP)
|
100% |
46
61.1 IPS |
|
|
Text Classification (Q)
|
91% |
23
31.3 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (Q)
|
57% |
28
0.69 IPS |
