Xiaomi 2312DRA50G
Geekbench AI Score
180
Single Precision Score
180
Half Precision Score
10565
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Hakim_Yusa |
| Upload Date | February 04 2025 09:57 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2312DRA50G |
| Model ID | Xiaomi 2312DRA50G |
| Motherboard | garnet |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
97% |
9758
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
7350
119.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
31162
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.32 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.31 IPS |
|
|
Object Detection (Q)
|
86% |
4579
368.2 IPS |
|
|
Face Detection (SP)
|
100% |
273
3.25 IPS |
|
|
Face Detection (HP)
|
100% |
277
3.30 IPS |
|
|
Face Detection (Q)
|
97% |
27170
324.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
237
1.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
63% |
22157
207.5 IPS |
|
|
Style Transfer (SP)
|
100% |
414
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
412
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
70344
90.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
111
4.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17517
649.1 IPS |
|
|
Text Classification (SP)
|
100% |
147
195.7 IPS |
|
|
Text Classification (HP)
|
100% |
149
199.1 IPS |
|
|
Text Classification (Q)
|
93% |
3090
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
55% |
739
19.4 IPS |
