Xiaomi 13
Geekbench AI Score
1243
Single Precision Score
2003
Half Precision Score
1608
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kicsipapucs |
| Upload Date | July 20 2025 12:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
767
142.5 IPS |
|
|
Image Classification (HP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (Q)
|
99% |
968
180.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3149
51.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2672
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6312
7.36 IPS |
|
|
Pose Estimation (HP)
|
99% |
10973
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
10603
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
99% |
838
66.5 IPS |
|
|
Object Detection (Q)
|
82% |
859
69.6 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
97% |
3478
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2934
22.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4483
34.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3619
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7750
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
16427
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15677
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2508
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2504
92.8 IPS |
|
|
Text Classification (SP)
|
35% |
33
322.1 IPS |
|
|
Text Classification (HP)
|
35% |
48
434.1 IPS |
|
|
Text Classification (Q)
|
35% |
45
434.9 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
97% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
49% |
222
8.33 IPS |
