Acer Spin 512 Google dedede
Geekbench AI Score
14
Single Precision Score
14
Half Precision Score
7
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Hessi |
| Upload Date | October 25 2024 12:43 PM |
| Views | 10 |
| Notes | Intel N6000 Pentium Silver Chromebook, ChromeOS |
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 | maglia |
| 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 | 3.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.93 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.97 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.89 KIPS |
|
|
Image Segmentation (SP)
|
73% |
10794
186.5 IPS |
|
|
Image Segmentation (HP)
|
73% |
11163
192.9 IPS |
|
|
Image Segmentation (Q)
|
73% |
25499
440.7 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
612.9 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
621.3 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.40 KIPS |
|
|
Object Detection (SP)
|
0% |
0
952.3 IPS |
|
|
Object Detection (HP)
|
0% |
0
943.2 IPS |
|
|
Object Detection (Q)
|
0% |
0
678.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
284.4 IPS |
|
|
Face Detection (HP)
|
0% |
0
284.8 IPS |
|
|
Face Detection (Q)
|
0% |
0
443.7 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
621.5 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
617.6 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
551.0 IPS |
|
|
Style Transfer (SP)
|
32% |
112421
1.41 KIPS |
|
|
Style Transfer (HP)
|
32% |
110918
1.39 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
2.95 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
136
1.60 KIPS |
|
|
Text Classification (SP)
|
29% |
264
4.56 KIPS |
|
|
Text Classification (HP)
|
29% |
263
4.54 KIPS |
|
|
Text Classification (Q)
|
29% |
173
2.99 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.65 IPS |
|
|
Machine Translation (HP)
|
0% |
0
5.55 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.99 IPS |
