Xiaomi 23127PN0CC
Geekbench AI Score
493
Single Precision Score
15203
Half Precision Score
39452
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | nakixii |
| Upload Date | October 04 2024 05:24 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23127PN0CC |
| Model ID | Xiaomi 23127PN0CC |
| Motherboard | houji |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (HP)
|
100% |
15894
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
42994
8.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
10852
175.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
29281
476.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
76185
88.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
398660
466.6 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
14662
1.16 KIPS |
|
|
Object Detection (Q)
|
86% |
19072
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
33320
395.9 IPS |
|
|
Face Detection (Q)
|
97% |
126301
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
632
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
56940
438.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
117570
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1027
1.32 IPS |
|
|
Style Transfer (HP)
|
24% |
3684
111.4 IPS |
|
|
Style Transfer (Q)
|
98% |
306477
395.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39411
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105556
3.91 KIPS |
|
|
Text Classification (SP)
|
100% |
448
597.7 IPS |
|
|
Text Classification (HP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6851
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3840
66.1 IPS |
|
|
Machine Translation (Q)
|
30% |
290
58.3 IPS |
