realme RMX3706
Geekbench AI Score
1044
Single Precision Score
981
Half Precision Score
2513
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 30 2024 02:40 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3706 |
| Model ID | realme RMX3706 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
450
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.2 IPS |
|
|
Image Classification (Q)
|
100% |
1734
322.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2058
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
5066
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (Q)
|
87% |
1730
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
1683
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (Q)
|
95% |
4003
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2251
17.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
2195
16.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
4670
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3852
5.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3840
4.99 IPS |
|
|
Style Transfer (Q)
|
98% |
10741
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2703
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
511
682.0 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.6 IPS |
|
|
Text Classification (Q)
|
88% |
920
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.49 IPS |
|
|
Machine Translation (Q)
|
50% |
645
22.9 IPS |
