realme RMX3081
Geekbench AI Score
523
Single Precision Score
524
Half Precision Score
1018
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Vaitek |
| Upload Date | August 18 2024 07:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3081 |
| Model ID | realme RMX3081 |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 5.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
100% |
698
129.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1137
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1134
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1713
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
87% |
701
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
709
8.42 IPS |
|
|
Face Detection (HP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (Q)
|
95% |
1572
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
944
7.28 IPS |
|
|
Depth Estimation (HP)
|
100% |
943
7.26 IPS |
|
|
Depth Estimation (Q)
|
75% |
1794
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1847
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1905
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3917
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
965
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.9 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.9 IPS |
|
|
Text Classification (Q)
|
88% |
524
706.1 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
50% |
340
12.1 IPS |
