Xiaomi 23049PCD8G
Geekbench AI Score
1268
Single Precision Score
2240
Half Precision Score
3145
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | February 15 2026 07:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.0 IPS |
|
|
Image Classification (Q)
|
99% |
2245
418.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2465
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2479
2.89 IPS |
|
|
Pose Estimation (HP)
|
92% |
5061
5.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
5783
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
97% |
1052
83.7 IPS |
|
|
Object Detection (Q)
|
85% |
2200
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
4884
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2393
18.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4563
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5029
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4196
5.45 IPS |
|
|
Style Transfer (HP)
|
88% |
6237
8.10 IPS |
|
|
Style Transfer (Q)
|
98% |
12810
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2456
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3283
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.6 IPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
93% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1486
25.7 IPS |
|
|
Machine Translation (Q)
|
55% |
1061
28.5 IPS |
