Xiaomi 25053PC47G
Geekbench AI Score
2179
Single Precision Score
2129
Half Precision Score
3453
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 06:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25053PC47G |
| Model ID | Xiaomi 25053PC47G |
| 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% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
1088
202.3 IPS |
|
|
Image Classification (Q)
|
100% |
1783
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3530
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3814
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3625
4.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
8331
9.88 IPS |
|
|
Object Detection (SP)
|
98% |
1500
119.4 IPS |
|
|
Object Detection (HP)
|
98% |
1576
125.4 IPS |
|
|
Object Detection (Q)
|
83% |
2523
203.8 IPS |
|
|
Face Detection (SP)
|
100% |
3478
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
6635
79.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3288
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3070
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6201
56.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9350
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9331
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16219
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1816
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4704
174.3 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1039
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
560
19.9 IPS |
