Xiaomi 2312DRA50G
Geekbench AI Score
214
Single Precision Score
214
Half Precision Score
8435
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 01 2024 04:18 AM |
| Views | 1 |
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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
97% |
9442
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
8309
135.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
31087
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (Q)
|
86% |
4410
354.6 IPS |
|
|
Face Detection (SP)
|
100% |
321
3.81 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
97% |
27656
329.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
278
2.14 IPS |
|
|
Depth Estimation (Q)
|
63% |
22608
211.7 IPS |
|
|
Style Transfer (SP)
|
100% |
478
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
479
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
69793
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
138
5.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
139
5.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17365
643.5 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.5 IPS |
|
|
Text Classification (HP)
|
100% |
189
251.8 IPS |
|
|
Text Classification (Q)
|
93% |
3025
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (Q)
|
30% |
74
14.8 IPS |
