Xiaomi 23124RN87I
Geekbench AI Score
505
Single Precision Score
473
Half Precision Score
951
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 05:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23124RN87I |
| Model ID | Xiaomi 23124RN87I |
| Motherboard | air |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
651
121.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
702
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1090
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1620
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
649
52.4 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
95% |
1461
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
895
6.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
476
3.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
1506
13.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1848
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1853
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3713
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
905
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
274
366.0 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.6 IPS |
|
|
Text Classification (Q)
|
88% |
504
679.9 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
50% |
338
12.0 IPS |
