realme RMX3888
Geekbench AI Score
2666
Single Precision Score
2604
Half Precision Score
4250
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 12 2024 12:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3888 |
| Model ID | realme RMX3888 |
| Motherboard | pineapple |
| Governor | uag |
| 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 | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1847
343.4 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.0 IPS |
|
|
Image Classification (Q)
|
100% |
2835
527.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4187
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4371
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
9106
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
2001
159.2 IPS |
|
|
Object Detection (HP)
|
98% |
2005
159.5 IPS |
|
|
Object Detection (Q)
|
83% |
2926
236.4 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (Q)
|
95% |
7103
84.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3839
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3867
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6833
62.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9918
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9913
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18629
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5136
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1449
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1557
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
905
32.1 IPS |
