realme RMX3941
Geekbench AI Score
99
Single Precision Score
143
Half Precision Score
138
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 08:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3941 |
| Model ID | realme RMX3941 |
| Motherboard | RM6769 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
73
13.5 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
99% |
113
21.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
99
1.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
161
2.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
56
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
81
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
58
4.59 IPS |
|
|
Object Detection (HP)
|
100% |
99
7.89 IPS |
|
|
Object Detection (Q)
|
83% |
97
7.82 IPS |
|
|
Face Detection (SP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.21 IPS |
|
|
Face Detection (Q)
|
97% |
329
3.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
121
0.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.40 IPS |
|
|
Depth Estimation (Q)
|
62% |
137
1.29 IPS |
|
|
Style Transfer (SP)
|
100% |
231
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
375
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
372
0.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67
2.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
103
3.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
103
3.82 IPS |
|
|
Text Classification (SP)
|
100% |
74
98.6 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.9 IPS |
|
|
Text Classification (Q)
|
91% |
104
139.3 IPS |
|
|
Machine Translation (SP)
|
100% |
132
2.28 IPS |
|
|
Machine Translation (HP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (Q)
|
57% |
98
2.39 IPS |
