Xiaomi 13
Geekbench AI Score
892
Single Precision Score
845
Half Precision Score
1451
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | QueridoAsno |
| Upload Date | August 19 2024 04:25 PM |
| Views | 8 |
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 2211133C |
| 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 | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.2 IPS |
|
|
Image Classification (Q)
|
100% |
968
180.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1119
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1780
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
2851
3.38 IPS |
|
|
Object Detection (SP)
|
98% |
711
56.6 IPS |
|
|
Object Detection (HP)
|
98% |
485
38.6 IPS |
|
|
Object Detection (Q)
|
87% |
1047
84.1 IPS |
|
|
Face Detection (SP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
1972
23.5 IPS |
|
|
Depth Estimation (SP)
|
98% |
1896
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1526
11.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
2855
23.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2990
3.88 IPS |
|
|
Style Transfer (HP)
|
89% |
2857
3.71 IPS |
|
|
Style Transfer (Q)
|
98% |
5873
7.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1494
55.4 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.3 IPS |
|
|
Text Classification (HP)
|
99% |
295
393.2 IPS |
|
|
Text Classification (Q)
|
88% |
598
806.1 IPS |
|
|
Machine Translation (SP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
436
15.5 IPS |
