Xiaomi 2505DRP06G
Geekbench AI Score
499
Single Precision Score
501
Half Precision Score
935
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 04:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2505DRP06G |
| Model ID | Xiaomi 2505DRP06G |
| Motherboard | koto |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
704
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1598
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
624
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.55 IPS |
|
|
Face Detection (Q)
|
95% |
1461
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
839
6.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
852
6.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1467
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1803
2.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1807
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3794
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
883
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.6 IPS |
|
|
Text Classification (HP)
|
100% |
269
358.6 IPS |
|
|
Text Classification (Q)
|
88% |
482
650.7 IPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
