realme RMX3939
Geekbench AI Score
131
Single Precision Score
144
Half Precision Score
153
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 17 2024 04:56 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3939 |
| Model ID | realme RMX3939 |
| Motherboard | ums9230_latte |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
78
14.6 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (Q)
|
99% |
103
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
144
2.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
432
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
44
3.49 IPS |
|
|
Object Detection (HP)
|
100% |
44
3.49 IPS |
|
|
Object Detection (Q)
|
89% |
88
7.07 IPS |
|
|
Face Detection (SP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (HP)
|
100% |
321
3.82 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
98% |
288
2.23 IPS |
|
|
Depth Estimation (Q)
|
83% |
385
3.02 IPS |
|
|
Style Transfer (SP)
|
100% |
335
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
615
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
213
7.88 IPS |
|
|
Text Classification (SP)
|
100% |
18
24.3 IPS |
|
|
Text Classification (HP)
|
100% |
63
83.9 IPS |
|
|
Text Classification (Q)
|
93% |
24
32.2 IPS |
|
|
Machine Translation (SP)
|
100% |
73
1.26 IPS |
|
|
Machine Translation (HP)
|
100% |
107
1.85 IPS |
|
|
Machine Translation (Q)
|
55% |
53
1.40 IPS |
