Phone - Xiaomi Redmi Note 8T Xiaomi Redmi Note 8T
Geekbench AI Score
31
Single Precision Score
97
Half Precision Score
93
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kecskesajt |
| Upload Date | December 03 2024 05:39 PM |
| Views | 12 |
| Notes | Qualcomm Snapdragon 665 Adreno 610 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
28
5.23 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (Q)
|
97% |
60
11.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
28
0.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
98
1.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
98
0.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
97
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
28
2.25 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.88 IPS |
|
|
Object Detection (Q)
|
89% |
48
3.88 IPS |
|
|
Face Detection (SP)
|
100% |
71
0.84 IPS |
|
|
Face Detection (HP)
|
100% |
179
2.13 IPS |
|
|
Face Detection (Q)
|
97% |
187
2.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
66
0.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
137
1.06 IPS |
|
|
Depth Estimation (Q)
|
62% |
112
1.06 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
259
0.33 IPS |
|
|
Style Transfer (Q)
|
98% |
258
0.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33
1.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
70
2.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
69
2.57 IPS |
|
|
Text Classification (SP)
|
100% |
59
79.0 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.9 IPS |
|
|
Text Classification (Q)
|
91% |
73
98.5 IPS |
|
|
Machine Translation (SP)
|
100% |
105
1.80 IPS |
|
|
Machine Translation (HP)
|
100% |
105
1.80 IPS |
|
|
Machine Translation (Q)
|
57% |
67
1.64 IPS |
