Xiaomi Mi 10
Geekbench AI Score
362
Single Precision Score
365
Half Precision Score
1248
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 10:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mi 10 |
| Model ID | Xiaomi Mi 10 |
| Motherboard | umi |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.1 IPS |
|
|
Image Classification (Q)
|
97% |
1327
247.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1269
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5370
6.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
11368
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.15 IPS |
|
|
Object Detection (Q)
|
85% |
1627
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
233
2.77 IPS |
|
|
Face Detection (Q)
|
97% |
3568
42.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
198
1.53 IPS |
|
|
Depth Estimation (Q)
|
22% |
256
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
338
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2756
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5412
200.5 IPS |
|
|
Text Classification (SP)
|
71% |
8
11.1 IPS |
|
|
Text Classification (HP)
|
100% |
131
175.0 IPS |
|
|
Text Classification (Q)
|
93% |
130
174.3 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
54% |
167
4.72 IPS |
