Xiaomi 2312DRA50G
Geekbench AI Score
431
Single Precision Score
730
Half Precision Score
667
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.5 IPS |
|
|
Image Classification (Q)
|
99% |
490
91.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1853
2.16 IPS |
|
|
Pose Estimation (HP)
|
99% |
3464
4.04 IPS |
|
|
Pose Estimation (Q)
|
97% |
3391
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
99% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
85% |
410
33.0 IPS |
|
|
Face Detection (SP)
|
100% |
841
9.99 IPS |
|
|
Face Detection (HP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
1263
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1041
8.02 IPS |
|
|
Depth Estimation (HP)
|
98% |
2057
15.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
1678
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1980
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
4227
5.43 IPS |
|
|
Style Transfer (Q)
|
98% |
4190
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
788
29.2 IPS |
|
|
Text Classification (SP)
|
35% |
19
181.9 IPS |
|
|
Text Classification (HP)
|
35% |
30
274.3 IPS |
|
|
Text Classification (Q)
|
35% |
29
267.4 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
97% |
210
3.63 IPS |
|
|
Machine Translation (Q)
|
64% |
164
3.37 IPS |
