Xiaomi 25079RPDCG
Geekbench AI Score
2376
Single Precision Score
2432
Half Precision Score
3528
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 03:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25079RPDCG |
| Model ID | Xiaomi 25079RPDCG |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
1669
310.5 IPS |
|
|
Image Classification (Q)
|
100% |
2568
477.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2783
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3486
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
6900
8.18 IPS |
|
|
Object Detection (SP)
|
98% |
1636
130.2 IPS |
|
|
Object Detection (HP)
|
98% |
1704
135.6 IPS |
|
|
Object Detection (Q)
|
83% |
2554
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
5638
67.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4046
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4031
31.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5811
53.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8285
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8332
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15132
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1840
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3738
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
1441
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (Q)
|
50% |
890
31.6 IPS |
