realme RMX3371
Geekbench AI Score
977
Single Precision Score
958
Half Precision Score
1819
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 12:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3371 |
| Model ID | realme RMX3371 |
| 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 | 5.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.1 IPS |
|
|
Image Classification (Q)
|
100% |
1414
263.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1662
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1846
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
3579
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (Q)
|
83% |
1248
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
3000
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1639
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1611
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2411
22.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3455
4.49 IPS |
|
|
Style Transfer (HP)
|
89% |
3527
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
7205
9.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1867
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.8 IPS |
|
|
Text Classification (HP)
|
100% |
558
745.4 IPS |
|
|
Text Classification (Q)
|
88% |
892
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
