Xiaomi 25062PC34G
Geekbench AI Score
353
Single Precision Score
352
Half Precision Score
388
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25062PC34G |
| Model ID | Xiaomi 25062PC34G |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
100% |
366
68.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
428
6.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
883
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
883
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
704
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
316
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
485
5.76 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.78 IPS |
|
|
Face Detection (Q)
|
95% |
740
8.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
671
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
722
6.61 IPS |
|
|
Style Transfer (SP)
|
89% |
1450
1.88 IPS |
|
|
Style Transfer (HP)
|
89% |
1449
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1757
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
367
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
190
7.05 IPS |
|
|
Text Classification (SP)
|
100% |
125
166.2 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.5 IPS |
|
|
Text Classification (Q)
|
88% |
134
180.8 IPS |
|
|
Machine Translation (SP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (HP)
|
100% |
195
3.35 IPS |
|
|
Machine Translation (Q)
|
50% |
93
3.31 IPS |
