realme RMX3800
Geekbench AI Score
412
Single Precision Score
20478
Half Precision Score
50479
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 03:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3800 |
| Model ID | realme RMX3800 |
| Motherboard | pineapple |
| Governor | conservative |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
15554
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
40976
7.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
10648
172.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
31260
508.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
76017
88.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
397491
465.2 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
14614
1.16 KIPS |
|
|
Object Detection (Q)
|
86% |
20202
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
32123
381.7 IPS |
|
|
Face Detection (Q)
|
97% |
117573
1.40 KIPS |
|
|
Depth Estimation (SP)
|
100% |
532
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
58285
449.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
115616
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
846
1.09 IPS |
|
|
Style Transfer (HP)
|
98% |
82467
106.3 IPS |
|
|
Style Transfer (Q)
|
98% |
421109
543.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39248
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
109344
4.05 KIPS |
|
|
Text Classification (SP)
|
100% |
378
504.6 IPS |
|
|
Text Classification (HP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6814
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
573
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2449
64.2 IPS |
