realme RMX5010
Geekbench AI Score
2152
Single Precision Score
1761
Half Precision Score
2689
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 12:48 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% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
1434
266.7 IPS |
|
|
Image Classification (Q)
|
100% |
2955
549.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
3573
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4360
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4264
4.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
10209
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
1275
101.5 IPS |
|
|
Object Detection (HP)
|
98% |
1251
99.6 IPS |
|
|
Object Detection (Q)
|
87% |
2162
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
3345
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
5129
61.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
3707
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3752
29.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
5984
48.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9656
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9370
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16626
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1594
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2518
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
738
984.7 IPS |
|
|
Text Classification (HP)
|
99% |
704
939.1 IPS |
|
|
Text Classification (Q)
|
88% |
319
429.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
207
7.33 IPS |
