Xiaomi 25010PN30G
Geekbench AI Score
2308
Single Precision Score
2490
Half Precision Score
4046
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Stevejd |
| Upload Date | June 07 2025 01:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25010PN30G |
| Model ID | Xiaomi 25010PN30G |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
983
182.8 IPS |
|
|
Image Classification (HP)
|
100% |
1980
368.3 IPS |
|
|
Image Classification (Q)
|
100% |
4195
780.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3148
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4475
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4200
4.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
10623
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
1453
115.7 IPS |
|
|
Object Detection (HP)
|
98% |
1589
126.4 IPS |
|
|
Object Detection (Q)
|
83% |
3527
284.9 IPS |
|
|
Face Detection (SP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
4064
48.3 IPS |
|
|
Face Detection (Q)
|
95% |
7820
93.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3900
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3678
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
9011
82.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9003
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9261
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19561
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5193
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
882
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
649
875.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
512
18.2 IPS |
