Xiaomi 2508CRN2BI
Geekbench AI Score
303
Single Precision Score
561
Half Precision Score
456
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 29 2026 09:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2508CRN2BI |
| Model ID | Xiaomi 2508CRN2BI |
| Motherboard | tornado |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (Q)
|
97% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
515
8.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
2022
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
99% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
83% |
297
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (HP)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (Q)
|
96% |
1161
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
703
5.42 IPS |
|
|
Depth Estimation (HP)
|
98% |
1470
11.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1149
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1889
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
4096
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
4050
5.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
750
27.8 IPS |
|
|
Text Classification (SP)
|
35% |
11
96.4 IPS |
|
|
Text Classification (HP)
|
29% |
9
158.8 IPS |
|
|
Text Classification (Q)
|
31% |
12
162.3 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (Q)
|
43% |
89
5.18 IPS |
