Xiaomi 24072PX77C
Geekbench AI Score
2080
Single Precision Score
2065
Half Precision Score
3138
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 02:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 24072PX77C |
| Model ID | Xiaomi 24072PX77C |
| Motherboard | goku |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1646
306.1 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (Q)
|
100% |
2672
496.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3242
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3977
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3941
4.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
8803
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1753
139.5 IPS |
|
|
Object Detection (HP)
|
98% |
1687
134.2 IPS |
|
|
Object Detection (Q)
|
83% |
2283
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4632
55.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2995
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2992
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4806
44.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7603
9.87 IPS |
|
|
Style Transfer (HP)
|
89% |
7528
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
13882
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3389
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
600
801.4 IPS |
|
|
Text Classification (HP)
|
99% |
586
782.6 IPS |
|
|
Text Classification (Q)
|
88% |
888
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
573
20.3 IPS |
