realme RMX3890
Geekbench AI Score
326
Single Precision Score
308
Half Precision Score
365
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | batu69 |
| Upload Date | October 01 2025 02:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3890 |
| Model ID | realme RMX3890 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
100% |
361
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
445
7.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
870
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
678
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
285
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
426
5.07 IPS |
|
|
Face Detection (HP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (Q)
|
95% |
664
7.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
597
4.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
606
4.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
651
5.96 IPS |
|
|
Style Transfer (SP)
|
89% |
1314
1.71 IPS |
|
|
Style Transfer (HP)
|
89% |
1309
1.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1609
2.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
182
6.75 IPS |
|
|
Text Classification (SP)
|
100% |
115
154.1 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.1 IPS |
|
|
Text Classification (Q)
|
88% |
126
169.9 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.11 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.00 IPS |
