Xiaomi 24117RN76E
Geekbench AI Score
460
Single Precision Score
482
Half Precision Score
901
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 21 2026 09:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24117RN76E |
| Model ID | Xiaomi 24117RN76E |
| Motherboard | tanzanite |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
206
38.4 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
100% |
647
120.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
695
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1050
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1542
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
83% |
628
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (Q)
|
95% |
1462
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
840
6.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1474
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1728
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1793
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3675
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
884
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
240
320.1 IPS |
|
|
Text Classification (HP)
|
100% |
259
345.8 IPS |
|
|
Text Classification (Q)
|
88% |
380
512.2 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.69 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
50% |
305
10.8 IPS |
