Xiaomi 24117RN76L
Geekbench AI Score
441
Single Precision Score
435
Half Precision Score
828
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 04:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24117RN76L |
| Model ID | Xiaomi 24117RN76L |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.6 IPS |
|
|
Image Classification (Q)
|
100% |
558
103.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
628
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
989
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1447
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
83% |
558
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
672
7.99 IPS |
|
|
Face Detection (HP)
|
100% |
663
7.88 IPS |
|
|
Face Detection (Q)
|
95% |
1297
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
837
6.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
604
4.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
1314
12.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1596
2.07 IPS |
|
|
Style Transfer (HP)
|
89% |
1643
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3320
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
787
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.1 IPS |
|
|
Text Classification (HP)
|
100% |
232
310.1 IPS |
|
|
Text Classification (Q)
|
88% |
396
534.3 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (Q)
|
50% |
305
10.8 IPS |
