Phone - Xiaomi Redmi Note 8T Xiaomi Redmi Note 8T
Geekbench AI Score
72
Single Precision Score
73
Half Precision Score
99
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kecskesajt |
| Upload Date | December 03 2024 07:18 PM |
| Views | 13 |
| Notes | Qualcomm Snapdragon 665 Adreno 610 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi Note 8T |
| Model ID | Xiaomi Redmi Note 8T |
| Motherboard | trinket |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
41
7.66 IPS |
|
|
Image Classification (HP)
|
100% |
42
7.75 IPS |
|
|
Image Classification (Q)
|
99% |
62
11.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
55
0.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
55
0.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
74
1.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
79
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
79
0.09 IPS |
|
|
Pose Estimation (Q)
|
98% |
138
0.16 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.30 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.32 IPS |
|
|
Object Detection (Q)
|
87% |
65
5.21 IPS |
|
|
Face Detection (SP)
|
100% |
108
1.28 IPS |
|
|
Face Detection (HP)
|
100% |
109
1.29 IPS |
|
|
Face Detection (Q)
|
97% |
157
1.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
97
0.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
97
0.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
127
1.15 IPS |
|
|
Style Transfer (SP)
|
100% |
181
0.23 IPS |
|
|
Style Transfer (HP)
|
100% |
179
0.23 IPS |
|
|
Style Transfer (Q)
|
98% |
310
0.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47
1.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47
1.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
81
3.01 IPS |
|
|
Text Classification (SP)
|
100% |
60
80.1 IPS |
|
|
Text Classification (HP)
|
100% |
60
80.3 IPS |
|
|
Text Classification (Q)
|
91% |
73
97.8 IPS |
|
|
Machine Translation (SP)
|
100% |
104
1.79 IPS |
|
|
Machine Translation (HP)
|
100% |
107
1.84 IPS |
|
|
Machine Translation (Q)
|
57% |
66
1.62 IPS |
