Xiaomi 25099RP13G
Geekbench AI Score
1101
Single Precision Score
1063
Half Precision Score
1781
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 10:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25099RP13G |
| Model ID | Xiaomi 25099RP13G |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
905
168.4 IPS |
|
|
Image Classification (HP)
|
100% |
802
149.1 IPS |
|
|
Image Classification (Q)
|
100% |
1832
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2141
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1992
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1994
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
5528
6.56 IPS |
|
|
Object Detection (SP)
|
98% |
908
72.3 IPS |
|
|
Object Detection (HP)
|
98% |
873
69.5 IPS |
|
|
Object Detection (Q)
|
83% |
917
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
1806
21.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1677
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1702
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2012
18.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4696
6.10 IPS |
|
|
Style Transfer (HP)
|
89% |
4697
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
4823
6.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3011
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
319
426.3 IPS |
|
|
Text Classification (HP)
|
99% |
314
418.8 IPS |
|
|
Text Classification (Q)
|
88% |
598
806.3 IPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
