Xiaomi 2506BPN68G
Geekbench AI Score
1088
Single Precision Score
1479
Half Precision Score
1241
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 04:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
585
108.7 IPS |
|
|
Image Classification (HP)
|
100% |
731
136.0 IPS |
|
|
Image Classification (Q)
|
97% |
671
125.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2139
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6057
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
11195
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11627
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
99% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
83% |
698
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (Q)
|
96% |
3137
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2843
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4695
36.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3692
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9906
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18167
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18130
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2051
76.0 IPS |
|
|
Text Classification (SP)
|
35% |
23
205.8 IPS |
|
|
Text Classification (HP)
|
29% |
14
238.5 IPS |
|
|
Text Classification (Q)
|
32% |
17
216.7 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
43% |
102
5.96 IPS |
