Xiaomi 24094RAD4I
Geekbench AI Score
246
Single Precision Score
278
Half Precision Score
172
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 04:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24094RAD4I |
| Model ID | Xiaomi 24094RAD4I |
| Motherboard | beryl |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
184
34.1 IPS |
|
|
Image Classification (HP)
|
97% |
353
65.8 IPS |
|
|
Image Classification (Q)
|
97% |
58
10.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
66
1.07 IPS |
|
|
Pose Estimation (SP)
|
99% |
1042
1.22 IPS |
|
|
Pose Estimation (HP)
|
98% |
2309
2.70 IPS |
|
|
Pose Estimation (Q)
|
70% |
885
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (HP)
|
99% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
80% |
67
5.43 IPS |
|
|
Face Detection (SP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (HP)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
100
1.19 IPS |
|
|
Depth Estimation (SP)
|
84% |
681
5.33 IPS |
|
|
Depth Estimation (HP)
|
84% |
1607
12.6 IPS |
|
|
Depth Estimation (Q)
|
57% |
192
2.10 IPS |
|
|
Style Transfer (SP)
|
100% |
829
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
343
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1592
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
415
15.4 IPS |
|
|
Text Classification (SP)
|
29% |
4
75.0 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.5 IPS |
|
|
Text Classification (Q)
|
93% |
87
117.1 IPS |
|
|
Machine Translation (SP)
|
100% |
157
2.70 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
55% |
94
2.50 IPS |
