Xiaomi 2506BPN68G
Geekbench AI Score
1000
Single Precision Score
8688
Half Precision Score
12191
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 11:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
811
150.8 IPS |
|
|
Image Classification (HP)
|
100% |
4681
870.6 IPS |
|
|
Image Classification (Q)
|
99% |
13891
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2088
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8099
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
20807
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
86284
101.1 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
5017
397.9 IPS |
|
|
Object Detection (Q)
|
86% |
6124
492.6 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
13538
160.9 IPS |
|
|
Face Detection (Q)
|
97% |
15122
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
630
4.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
21387
164.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
36870
350.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2329
2.99 IPS |
|
|
Style Transfer (HP)
|
100% |
66807
85.9 IPS |
|
|
Style Transfer (Q)
|
98% |
234966
303.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2363
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12015
443.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
35439
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
125
167.5 IPS |
|
|
Text Classification (HP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
2050
35.3 IPS |
|
|
Machine Translation (Q)
|
60% |
425
9.57 IPS |
