Xiaomi 25079RPDCC
Geekbench AI Score
2470
Single Precision Score
2456
Half Precision Score
3575
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 12:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25079RPDCC |
| Model ID | Xiaomi 25079RPDCC |
| Motherboard | turner |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1701
316.3 IPS |
|
|
Image Classification (HP)
|
100% |
1706
317.3 IPS |
|
|
Image Classification (Q)
|
100% |
2585
480.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2852
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3729
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
7270
8.62 IPS |
|
|
Object Detection (SP)
|
98% |
1661
132.2 IPS |
|
|
Object Detection (HP)
|
98% |
1635
130.1 IPS |
|
|
Object Detection (Q)
|
83% |
2555
206.4 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (Q)
|
95% |
5713
68.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4062
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4050
31.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5870
53.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8646
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8701
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15624
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3739
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1450
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (Q)
|
50% |
877
31.1 IPS |
