Xiaomi Mi 8
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
9
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mi 8 |
| Model ID | Xiaomi MI 8 |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.65 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.50 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.74 KIPS |
|
|
Image Segmentation (SP)
|
73% |
16098
278.2 IPS |
|
|
Image Segmentation (HP)
|
73% |
16450
284.3 IPS |
|
|
Image Segmentation (Q)
|
73% |
38975
673.5 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
892.3 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
914.2 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.98 KIPS |
|
|
Object Detection (SP)
|
0% |
0
987.5 IPS |
|
|
Object Detection (HP)
|
0% |
0
1.13 KIPS |
|
|
Object Detection (Q)
|
0% |
0
924.9 IPS |
|
|
Face Detection (SP)
|
0% |
0
355.2 IPS |
|
|
Face Detection (HP)
|
0% |
0
339.9 IPS |
|
|
Face Detection (Q)
|
0% |
0
566.3 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
911.1 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
769.2 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
729.4 IPS |
|
|
Style Transfer (SP)
|
32% |
131436
1.65 KIPS |
|
|
Style Transfer (HP)
|
32% |
132075
1.66 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.45 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.65 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
263
3.10 KIPS |
|
|
Text Classification (SP)
|
29% |
387
6.68 KIPS |
|
|
Text Classification (HP)
|
29% |
378
6.54 KIPS |
|
|
Text Classification (Q)
|
29% |
417
7.20 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.08 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.64 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.81 IPS |
