Xiaomi Mi 8
Geekbench AI Score
217
Single Precision Score
139
Half Precision Score
190
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Phizzle |
| Upload Date | October 29 2025 07:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
60
11.2 IPS |
|
|
Image Classification (Q)
|
99% |
91
16.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
82
1.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
107
1.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
987
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
198
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.85 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.86 IPS |
|
|
Object Detection (Q)
|
87% |
97
7.74 IPS |
|
|
Face Detection (SP)
|
100% |
744
8.83 IPS |
|
|
Face Detection (HP)
|
100% |
156
1.86 IPS |
|
|
Face Detection (Q)
|
97% |
224
2.67 IPS |
|
|
Depth Estimation (SP)
|
99% |
261
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
134
1.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
198
1.80 IPS |
|
|
Style Transfer (SP)
|
100% |
256
0.33 IPS |
|
|
Style Transfer (HP)
|
100% |
254
0.33 IPS |
|
|
Style Transfer (Q)
|
98% |
492
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1558
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
88
117.6 IPS |
|
|
Text Classification (HP)
|
100% |
83
111.0 IPS |
|
|
Text Classification (Q)
|
91% |
104
139.4 IPS |
|
|
Machine Translation (SP)
|
100% |
156
2.69 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.46 IPS |
|
|
Machine Translation (Q)
|
57% |
96
2.35 IPS |
