Xiaomi 23043RP34G
Geekbench AI Score
704
Single Precision Score
609
Half Precision Score
1218
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Vaitek |
| Upload Date | August 18 2024 05:47 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
152
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
100% |
460
85.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1458
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1923
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3121
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
87% |
1365
109.6 IPS |
|
|
Face Detection (SP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
3211
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1625
12.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
1604
12.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
3516
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3907
5.07 IPS |
|
|
Style Transfer (HP)
|
89% |
3712
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6847
8.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
652
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.0 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.5 IPS |
|
|
Text Classification (Q)
|
88% |
287
387.2 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (Q)
|
50% |
174
6.19 IPS |
