Xiaomi 24076RP19I
Geekbench AI Score
362
Single Precision Score
360
Half Precision Score
708
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24076RP19I |
| Model ID | Xiaomi 24076RP19I |
| Motherboard | spark |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.7 IPS |
|
|
Image Classification (Q)
|
100% |
541
100.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
651
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
866
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
1434
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.0 IPS |
|
|
Object Detection (Q)
|
83% |
491
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (Q)
|
95% |
1068
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
579
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1271
11.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1653
2.15 IPS |
|
|
Style Transfer (HP)
|
89% |
1652
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3271
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
781
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
182
243.3 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.3 IPS |
|
|
Text Classification (Q)
|
88% |
248
334.2 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.28 IPS |
