Xiaomi Mi 10 Ultra
Geekbench AI Score
310
Single Precision Score
297
Half Precision Score
1170
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | purplecje |
| Upload Date | November 05 2024 08:22 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 15.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.2 IPS |
|
|
Image Classification (Q)
|
97% |
1359
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
95
1.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1248
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1411
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5227
6.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
11508
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.61 IPS |
|
|
Object Detection (Q)
|
85% |
1497
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
187
2.22 IPS |
|
|
Face Detection (Q)
|
97% |
3579
42.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
333
2.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
157
1.21 IPS |
|
|
Depth Estimation (Q)
|
22% |
266
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
452
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
264
0.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1958
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5313
196.9 IPS |
|
|
Text Classification (SP)
|
71% |
5
7.86 IPS |
|
|
Text Classification (HP)
|
100% |
102
135.8 IPS |
|
|
Text Classification (Q)
|
93% |
121
162.1 IPS |
|
|
Machine Translation (SP)
|
100% |
138
2.37 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.07 IPS |
|
|
Machine Translation (Q)
|
54% |
138
3.89 IPS |
