Xiaomi 13
Geekbench AI Score
2309
Single Precision Score
2346
Half Precision Score
3661
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
1819
338.2 IPS |
|
|
Image Classification (Q)
|
100% |
2783
517.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2958
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3311
3.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
7475
8.87 IPS |
|
|
Object Detection (SP)
|
98% |
1870
148.8 IPS |
|
|
Object Detection (HP)
|
98% |
1865
148.4 IPS |
|
|
Object Detection (Q)
|
83% |
2678
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
6241
74.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3670
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3078
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6073
55.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8284
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
7960
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15774
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4122
152.7 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
873
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
1359
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1735
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (Q)
|
50% |
785
27.9 IPS |
