Xiaomi 25079RPDCG
Geekbench AI Score
2369
Single Precision Score
2755
Half Precision Score
3650
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 09:16 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25079RPDCG |
| Model ID | Xiaomi 25079RPDCG |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.1 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (Q)
|
99% |
2566
478.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2782
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3421
3.99 IPS |
|
|
Pose Estimation (HP)
|
92% |
6648
7.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
6740
7.90 IPS |
|
|
Object Detection (SP)
|
98% |
1594
126.9 IPS |
|
|
Object Detection (HP)
|
97% |
1244
99.0 IPS |
|
|
Object Detection (Q)
|
85% |
2536
204.3 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (Q)
|
97% |
5712
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3965
30.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5967
46.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5735
52.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8155
10.6 IPS |
|
|
Style Transfer (HP)
|
88% |
7968
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15131
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3199
118.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3810
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (Q)
|
93% |
1487
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1734
30.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1227
32.9 IPS |
