realme RMX3195
Geekbench AI Score
363
Single Precision Score
382
Half Precision Score
732
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 12:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3195 |
| Model ID | realme RMX3195 |
| Motherboard | RM6769 |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
100% |
522
97.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
613
9.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
863
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1501
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
531
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (HP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (Q)
|
95% |
1203
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
624
4.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
629
4.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1370
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1657
2.15 IPS |
|
|
Style Transfer (HP)
|
89% |
1672
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
3070
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
839
31.1 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.2 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.5 IPS |
|
|
Text Classification (Q)
|
88% |
263
355.3 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
50% |
156
5.54 IPS |
