Xiaomi Mi 10 Ultra
Geekbench ML Score
512
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 12 2024 02:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mi 10 Ultra |
| Model ID | Xiaomi M2007J1SC |
| Motherboard | cas |
| 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
248
46.4 IPS |
|
|
Image Classification (F16)
|
100% |
245
45.9 IPS |
|
|
Image Classification (I8)
|
97% |
571
106.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
355
5.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
355
5.92 IPS |
|
|
Image Segmentation (I8)
|
98% |
479
7.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
562
0.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
521
0.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
2241
2.71 IPS |
|
|
Object Detection (F32)
|
100% |
269
20.0 IPS |
|
|
Object Detection (F16)
|
100% |
273
20.4 IPS |
|
|
Object Detection (I8)
|
61% |
755
56.4 IPS |
|
|
Face Detection (F32)
|
100% |
561
6.67 IPS |
|
|
Face Detection (F16)
|
100% |
561
6.67 IPS |
|
|
Face Detection (I8)
|
86% |
1190
14.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
500
3.88 IPS |
|
|
Depth Estimation (F16)
|
100% |
503
3.90 IPS |
|
|
Depth Estimation (I8)
|
95% |
1066
8.26 IPS |
|
|
Style Transfer (F32)
|
100% |
796
1.05 IPS |
|
|
Style Transfer (F16)
|
100% |
805
1.06 IPS |
|
|
Style Transfer (I8)
|
98% |
2168
2.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
303
10.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
306
10.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1047
37.4 IPS |
|
|
Text Classification (F32)
|
100% |
299
429.1 IPS |
|
|
Text Classification (F16)
|
100% |
282
406.0 IPS |
|
|
Text Classification (I8)
|
92% |
267
383.7 IPS |
|
|
Machine Translation (F32)
|
100% |
559
10.3 IPS |
|
|
Machine Translation (F16)
|
100% |
590
10.9 IPS |
|
|
Machine Translation (I8)
|
64% |
261
4.80 IPS |
