Xiaomi 25079RPDCC
Geekbench AI Score
1417
Single Precision Score
1830
Half Precision Score
1521
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 12:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25079RPDCC |
| Model ID | Xiaomi 25079RPDCC |
| Motherboard | turner |
| 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 | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.5 IPS |
|
|
Image Classification (HP)
|
100% |
863
160.5 IPS |
|
|
Image Classification (Q)
|
97% |
783
146.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2620
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2395
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10370
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17156
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16711
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (HP)
|
99% |
1015
80.5 IPS |
|
|
Object Detection (Q)
|
83% |
1037
83.7 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (Q)
|
96% |
3604
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4508
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6178
47.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4712
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14334
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24989
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24906
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2413
89.4 IPS |
|
|
Text Classification (SP)
|
35% |
23
209.0 IPS |
|
|
Text Classification (HP)
|
29% |
15
250.8 IPS |
|
|
Text Classification (Q)
|
32% |
18
233.4 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
43% |
111
6.48 IPS |
