Xiaomi 25067PYE3C
Geekbench AI Score
235
Single Precision Score
235
Half Precision Score
530
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 07 2025 05:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25067PYE3C |
| Model ID | Xiaomi 25067PYE3C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
134
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.0 IPS |
|
|
Image Classification (Q)
|
99% |
340
63.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
368
5.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
915
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (Q)
|
87% |
371
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
379
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (Q)
|
97% |
775
9.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
318
2.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
318
2.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
734
6.66 IPS |
|
|
Style Transfer (SP)
|
100% |
585
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
582
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1626
2.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
523
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.7 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.9 IPS |
|
|
Text Classification (Q)
|
91% |
314
421.6 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.70 IPS |
