Xiaomi 2506BPN68G
Geekbench AI Score
1022
Single Precision Score
7918
Half Precision Score
10987
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 11:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
794
147.6 IPS |
|
|
Image Classification (HP)
|
100% |
4241
788.7 IPS |
|
|
Image Classification (Q)
|
99% |
11271
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4112
66.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1907
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7845
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
19223
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
77043
90.3 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
100% |
4617
366.2 IPS |
|
|
Object Detection (Q)
|
86% |
5630
452.8 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
12306
146.2 IPS |
|
|
Face Detection (Q)
|
97% |
13824
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
633
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
19722
151.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
33408
317.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2496
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
59381
76.3 IPS |
|
|
Style Transfer (Q)
|
98% |
203688
262.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2302
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10756
397.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
32521
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
118
158.1 IPS |
|
|
Text Classification (HP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2204
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (Q)
|
60% |
408
9.19 IPS |
