Xiaomi 23043RP34G
Geekbench AI Score
291
Single Precision Score
185
Half Precision Score
1170
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Vaitek |
| Upload Date | August 18 2024 07:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23043RP34G |
| Model ID | Xiaomi 23043RP34G |
| Motherboard | pipa |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (Q)
|
97% |
1243
231.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1232
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1600
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5976
6.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
11288
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.61 IPS |
|
|
Object Detection (Q)
|
89% |
1354
108.3 IPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
77
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
3028
36.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
176
1.36 IPS |
|
|
Depth Estimation (HP)
|
100% |
76
0.59 IPS |
|
|
Depth Estimation (Q)
|
46% |
2735
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
229
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
135
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
971
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2170
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4966
184.0 IPS |
|
|
Text Classification (SP)
|
71% |
10
14.1 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.4 IPS |
|
|
Text Classification (Q)
|
93% |
77
103.5 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.51 IPS |
|
|
Machine Translation (Q)
|
54% |
67
1.88 IPS |
