realme RMX5010
Geekbench AI Score
982
Single Precision Score
1585
Half Precision Score
1584
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 11:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5010 |
| Model ID | realme RMX5010 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.9 IPS |
|
|
Image Classification (Q)
|
99% |
781
145.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1323
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2774
3.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2774
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
1188
94.3 IPS |
|
|
Object Detection (Q)
|
86% |
1071
86.0 IPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
4300
51.1 IPS |
|
|
Face Detection (Q)
|
97% |
3546
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4531
35.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3757
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5769
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
12389
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12345
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2076
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
201
267.7 IPS |
|
|
Text Classification (HP)
|
100% |
199
266.1 IPS |
|
|
Text Classification (Q)
|
91% |
335
449.6 IPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.95 IPS |
