realme GT Master Explorer Edition realme RMX3366
Geekbench AI Score
456
Single Precision Score
545
Half Precision Score
1958
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 13 2025 07:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3366 |
| Model ID | realme RMX3366 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (Q)
|
97% |
1420
265.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1337
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1600
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6083
7.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
11592
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
453
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
85% |
1690
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
403
4.78 IPS |
|
|
Face Detection (Q)
|
97% |
3721
44.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
544
4.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
346
2.66 IPS |
|
|
Depth Estimation (Q)
|
63% |
6464
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
844
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
552
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4330
5.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2323
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5522
204.6 IPS |
|
|
Text Classification (SP)
|
71% |
12
17.8 IPS |
|
|
Text Classification (HP)
|
100% |
252
335.8 IPS |
|
|
Text Classification (Q)
|
93% |
146
196.6 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
54% |
266
7.50 IPS |
