DTResearch DA323EO
Geekbench AI Score
204
Single Precision Score
205
Half Precision Score
250
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 14 2025 06:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | DTResearch DA323EO |
| Model ID | DTResearch DA323EO |
| Motherboard | trinket |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
100% |
160
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
248
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
528
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
533
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.32 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.79 IPS |
|
|
Object Detection (Q)
|
83% |
183
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (Q)
|
95% |
442
5.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
326
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
336
2.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
421
3.85 IPS |
|
|
Style Transfer (SP)
|
89% |
1088
1.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1061
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1148
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
174
6.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
186
6.88 IPS |
|
|
Text Classification (SP)
|
100% |
106
141.6 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.8 IPS |
|
|
Text Classification (Q)
|
88% |
102
138.1 IPS |
|
|
Machine Translation (SP)
|
100% |
109
1.87 IPS |
|
|
Machine Translation (HP)
|
100% |
107
1.84 IPS |
|
|
Machine Translation (Q)
|
50% |
63
2.25 IPS |
