Xiaomi 2312DRAABG
Geekbench AI Score
334
Single Precision Score
337
Half Precision Score
627
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 11:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2312DRAABG |
| Model ID | Xiaomi 2312DRAABG |
| Motherboard | iron |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
149
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
100% |
416
77.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
540
8.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
769
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1049
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
83% |
414
33.4 IPS |
|
|
Face Detection (SP)
|
100% |
519
6.16 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (Q)
|
95% |
937
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
426
3.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
973
8.91 IPS |
|
|
Style Transfer (SP)
|
89% |
1266
1.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1244
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
2420
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
587
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.3 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.9 IPS |
|
|
Text Classification (Q)
|
88% |
319
430.4 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (Q)
|
50% |
233
8.26 IPS |
