Xiaomi 2312DRA50G
Geekbench AI Score
441
Single Precision Score
752
Half Precision Score
684
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 02:41 PM |
| Views | 1 |
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% |
315
58.6 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.5 IPS |
|
|
Image Classification (Q)
|
99% |
487
90.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
802
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (HP)
|
99% |
3519
4.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
3452
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
99% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
85% |
409
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
854
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
1331
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1046
8.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
2062
15.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
1705
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1982
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4277
5.50 IPS |
|
|
Style Transfer (Q)
|
98% |
4200
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
801
29.7 IPS |
|
|
Text Classification (SP)
|
35% |
19
182.6 IPS |
|
|
Text Classification (HP)
|
35% |
26
239.7 IPS |
|
|
Text Classification (Q)
|
35% |
26
233.7 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (HP)
|
97% |
263
4.55 IPS |
|
|
Machine Translation (Q)
|
64% |
206
4.24 IPS |
