realme RMX5010
Geekbench AI Score
2188
Single Precision Score
2207
Half Precision Score
2634
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 09:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
1538
286.0 IPS |
|
|
Image Classification (Q)
|
100% |
2700
502.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3585
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4385
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4436
5.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
10270
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1312
104.4 IPS |
|
|
Object Detection (HP)
|
98% |
1257
100.0 IPS |
|
|
Object Detection (Q)
|
83% |
1955
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3522
41.9 IPS |
|
|
Face Detection (Q)
|
95% |
4662
55.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3901
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3783
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5337
48.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9152
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9362
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15489
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2516
93.2 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
344
464.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
248
8.79 IPS |
