Xiaomi 23043RP34G
Geekbench AI Score
242
Single Precision Score
187
Half Precision Score
915
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | lensmich |
| Upload Date | January 19 2025 03:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23043RP34G |
| Model ID | Xiaomi 23043RP34G |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.6 IPS |
|
|
Image Classification (Q)
|
97% |
1179
220.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
43
0.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1127
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1592
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5800
6.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
11090
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.70 IPS |
|
|
Object Detection (Q)
|
85% |
1222
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
79
0.94 IPS |
|
|
Face Detection (Q)
|
97% |
2974
35.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
178
1.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
78
0.60 IPS |
|
|
Depth Estimation (Q)
|
22% |
229
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
236
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
140
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
985
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4827
178.9 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.68 IPS |
|
|
Text Classification (HP)
|
100% |
58
76.9 IPS |
|
|
Text Classification (Q)
|
93% |
114
152.5 IPS |
|
|
Machine Translation (SP)
|
100% |
78
1.34 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (Q)
|
54% |
62
1.75 IPS |
