Xiaomi 13
Geekbench AI Score
1013
Single Precision Score
920
Half Precision Score
1649
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kicsipapucs |
| Upload Date | July 20 2025 12:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 13 |
| Model ID | Xiaomi 2211133G |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.0 IPS |
|
|
Image Classification (Q)
|
100% |
1402
260.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1236
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1345
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
3554
4.22 IPS |
|
|
Object Detection (SP)
|
98% |
715
56.9 IPS |
|
|
Object Detection (HP)
|
98% |
720
57.3 IPS |
|
|
Object Detection (Q)
|
83% |
1066
86.1 IPS |
|
|
Face Detection (SP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2703
32.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1526
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1681
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2780
25.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3746
4.86 IPS |
|
|
Style Transfer (HP)
|
89% |
2559
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
6512
8.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1532
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
320
426.7 IPS |
|
|
Text Classification (HP)
|
99% |
319
426.1 IPS |
|
|
Text Classification (Q)
|
88% |
644
868.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
471
16.7 IPS |
