realme RMX3888
Geekbench AI Score
263
Single Precision Score
19800
Half Precision Score
47532
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 02:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (HP)
|
100% |
14853
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
34858
6.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
10229
165.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29136
473.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
261
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
75386
88.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
393419
460.5 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
13579
1.08 KIPS |
|
|
Object Detection (Q)
|
86% |
18421
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
29606
351.8 IPS |
|
|
Face Detection (Q)
|
97% |
102118
1.22 KIPS |
|
|
Depth Estimation (SP)
|
100% |
342
2.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
57159
440.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
111157
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
609
0.78 IPS |
|
|
Style Transfer (HP)
|
98% |
81543
105.1 IPS |
|
|
Style Transfer (Q)
|
98% |
418408
539.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39118
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103398
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
198
263.7 IPS |
|
|
Text Classification (HP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6700
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2431
63.7 IPS |
