Xiaomi Mi 10 Ultra
Geekbench ML Score
550
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 12 2024 02:38 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
249
46.6 IPS |
|
|
Image Classification (F16)
|
100% |
362
67.8 IPS |
|
|
Image Classification (I8)
|
97% |
369
69.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
334
5.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
622
10.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
654
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
474
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
946
1.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
943
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
241
18.0 IPS |
|
|
Object Detection (F16)
|
100% |
244
18.2 IPS |
|
|
Object Detection (I8)
|
62% |
332
24.8 IPS |
|
|
Face Detection (F32)
|
100% |
633
7.53 IPS |
|
|
Face Detection (F16)
|
97% |
1323
15.7 IPS |
|
|
Face Detection (I8)
|
87% |
1281
15.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
575
4.46 IPS |
|
|
Depth Estimation (F16)
|
100% |
1122
8.70 IPS |
|
|
Depth Estimation (I8)
|
95% |
1127
8.74 IPS |
|
|
Style Transfer (F32)
|
100% |
1077
1.42 IPS |
|
|
Style Transfer (F16)
|
100% |
2680
3.53 IPS |
|
|
Style Transfer (I8)
|
98% |
2867
3.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
292
10.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
657
23.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
650
23.2 IPS |
|
|
Text Classification (F32)
|
100% |
191
275.2 IPS |
|
|
Text Classification (F16)
|
100% |
190
272.4 IPS |
|
|
Text Classification (I8)
|
92% |
349
500.9 IPS |
|
|
Machine Translation (F32)
|
100% |
325
5.98 IPS |
|
|
Machine Translation (F16)
|
100% |
328
6.04 IPS |
|
|
Machine Translation (I8)
|
64% |
419
7.72 IPS |
