DTResearch DA323EO
Geekbench AI Score
276
Single Precision Score
273
Half Precision Score
337
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 14 2025 01:51 AM |
| Views | 8 |
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% |
148
27.5 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (Q)
|
100% |
228
42.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
327
5.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
628
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
677
0.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
591
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
238
19.3 IPS |
|
|
Face Detection (SP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (HP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (Q)
|
95% |
545
6.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
319
2.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
346
2.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
537
4.92 IPS |
|
|
Style Transfer (SP)
|
89% |
1389
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1396
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1585
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
213
7.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
318
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.6 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.2 IPS |
|
|
Text Classification (Q)
|
88% |
151
203.1 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (Q)
|
50% |
83
2.94 IPS |
