Xiaomi 2506BPN68G
Geekbench AI Score
1237
Single Precision Score
1790
Half Precision Score
1463
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 11:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 2506BPN68G |
| Model ID | Xiaomi 2506BPN68G |
| Motherboard | klimt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
1034
192.3 IPS |
|
|
Image Classification (Q)
|
97% |
817
152.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2232
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6210
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
11471
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11374
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (HP)
|
99% |
873
69.2 IPS |
|
|
Object Detection (Q)
|
83% |
879
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
4209
50.0 IPS |
|
|
Face Detection (Q)
|
96% |
3499
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3113
24.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5486
42.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4142
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10136
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19560
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19230
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2974
109.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2909
107.8 IPS |
|
|
Text Classification (SP)
|
35% |
31
280.8 IPS |
|
|
Text Classification (HP)
|
29% |
20
351.6 IPS |
|
|
Text Classification (Q)
|
32% |
26
341.9 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
43% |
117
6.82 IPS |
