Xiaomi 25099RP13G
Geekbench AI Score
247
Single Precision Score
248
Half Precision Score
593
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 03:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
146
27.1 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
99% |
389
72.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
424
6.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
261
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
258
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
1004
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
87% |
423
33.9 IPS |
|
|
Face Detection (SP)
|
100% |
387
4.59 IPS |
|
|
Face Detection (HP)
|
100% |
393
4.66 IPS |
|
|
Face Detection (Q)
|
97% |
886
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
805
7.31 IPS |
|
|
Style Transfer (SP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
560
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1686
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
579
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.4 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.2 IPS |
|
|
Text Classification (Q)
|
91% |
368
494.2 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (Q)
|
57% |
302
7.39 IPS |
