realme RMX3840
Geekbench AI Score
393
Single Precision Score
369
Half Precision Score
800
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Kos72 |
| Upload Date | April 01 2025 06:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3840 |
| Model ID | realme RMX3840 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
100% |
644
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
809
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
802
0.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1500
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
631
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (HP)
|
100% |
602
7.16 IPS |
|
|
Face Detection (Q)
|
95% |
1364
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
528
4.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
544
4.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1548
14.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1324
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1247
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3495
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
435
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
841
31.1 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.3 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.4 IPS |
|
|
Text Classification (Q)
|
88% |
242
326.3 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
50% |
164
5.82 IPS |
