Xiaomi Mi 11X
Geekbench ML Score
490
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 10 2024 07:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mi 11X |
| Model ID | Xiaomi M2012K11AI |
| Motherboard | aliothin |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
247
46.2 IPS |
|
|
Image Classification (F16)
|
100% |
245
45.8 IPS |
|
|
Image Classification (I8)
|
97% |
557
104.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
356
5.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
353
5.90 IPS |
|
|
Image Segmentation (I8)
|
98% |
430
7.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
560
0.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
560
0.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
2579
3.12 IPS |
|
|
Object Detection (F32)
|
100% |
277
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
273
20.4 IPS |
|
|
Object Detection (I8)
|
61% |
768
57.3 IPS |
|
|
Face Detection (F32)
|
100% |
581
6.91 IPS |
|
|
Face Detection (F16)
|
100% |
584
6.94 IPS |
|
|
Face Detection (I8)
|
86% |
1503
17.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
527
4.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
512
3.97 IPS |
|
|
Depth Estimation (I8)
|
95% |
1310
10.2 IPS |
|
|
Style Transfer (F32)
|
100% |
906
1.19 IPS |
|
|
Style Transfer (F16)
|
100% |
925
1.22 IPS |
|
|
Style Transfer (I8)
|
98% |
2401
3.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
173
6.19 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
172
6.14 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
295
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
265
380.7 IPS |
|
|
Text Classification (F16)
|
100% |
240
344.8 IPS |
|
|
Text Classification (I8)
|
92% |
288
414.0 IPS |
|
|
Machine Translation (F32)
|
100% |
614
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
607
11.2 IPS |
|
|
Machine Translation (I8)
|
64% |
285
5.25 IPS |
