Xiaomi 23049PCD8G
Geekbench AI Score
330
Single Precision Score
330
Half Precision Score
782
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | February 15 2026 08:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 23049PCD8G |
| Model ID | Xiaomi 23049PCD8G |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
99% |
510
95.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
588
9.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
345
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (Q)
|
98% |
1409
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (Q)
|
87% |
546
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (HP)
|
100% |
523
6.22 IPS |
|
|
Face Detection (Q)
|
97% |
1262
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
435
3.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1050
9.52 IPS |
|
|
Style Transfer (SP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
758
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1915
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
212
7.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
806
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.3 IPS |
|
|
Text Classification (HP)
|
100% |
281
374.5 IPS |
|
|
Text Classification (Q)
|
91% |
511
686.2 IPS |
|
|
Machine Translation (SP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
57% |
359
8.79 IPS |
