Xiaomi 13
Geekbench ML Score
791
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 06:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 10.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
493
92.2 IPS |
|
|
Image Classification (F16)
|
100% |
715
133.8 IPS |
|
|
Image Classification (I8)
|
99% |
513
96.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
941
15.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
914
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
644
0.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
959
1.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
918
1.11 IPS |
|
|
Object Detection (F32)
|
100% |
300
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
362
27.0 IPS |
|
|
Object Detection (I8)
|
62% |
322
24.0 IPS |
|
|
Face Detection (F32)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (F16)
|
97% |
1579
18.8 IPS |
|
|
Face Detection (I8)
|
86% |
2559
30.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1133
8.78 IPS |
|
|
Depth Estimation (F16)
|
100% |
2074
16.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2172
16.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2808
3.69 IPS |
|
|
Style Transfer (F16)
|
100% |
6491
8.54 IPS |
|
|
Style Transfer (I8)
|
98% |
6485
8.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
254
9.07 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
223
7.98 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
224
8.01 IPS |
|
|
Text Classification (F32)
|
100% |
311
447.3 IPS |
|
|
Text Classification (F16)
|
100% |
312
447.8 IPS |
|
|
Text Classification (I8)
|
92% |
451
647.6 IPS |
|
|
Machine Translation (F32)
|
100% |
550
10.1 IPS |
|
|
Machine Translation (F16)
|
100% |
555
10.2 IPS |
|
|
Machine Translation (I8)
|
64% |
532
9.79 IPS |
