realme RMX5085
Geekbench AI Score
1580
Single Precision Score
1607
Half Precision Score
2354
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 08:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5085 |
| Model ID | realme RMX5085 |
| Motherboard | k6899v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores @ 2.10 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1104
205.3 IPS |
|
|
Image Classification (HP)
|
100% |
1151
214.1 IPS |
|
|
Image Classification (Q)
|
100% |
1671
310.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2006
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2398
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
5481
6.50 IPS |
|
|
Object Detection (SP)
|
98% |
1188
94.5 IPS |
|
|
Object Detection (HP)
|
98% |
1237
98.4 IPS |
|
|
Object Detection (Q)
|
83% |
1684
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (Q)
|
95% |
3716
44.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2371
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2430
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4080
37.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5957
7.73 IPS |
|
|
Style Transfer (HP)
|
89% |
6329
8.22 IPS |
|
|
Style Transfer (Q)
|
98% |
11556
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1130
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1147
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2775
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
514
685.5 IPS |
|
|
Text Classification (HP)
|
99% |
519
692.4 IPS |
|
|
Text Classification (Q)
|
88% |
779
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
