realme GT Master Explorer Edition realme RMX3366
Geekbench AI Score
994
Single Precision Score
1003
Half Precision Score
1822
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 13 2025 07:33 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
544
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
100% |
1416
263.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1622
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2091
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
3221
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
1209
97.6 IPS |
|
|
Face Detection (SP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
2951
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1561
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1769
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2929
26.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3623
4.70 IPS |
|
|
Style Transfer (HP)
|
89% |
3658
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
7488
9.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1763
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
493
657.9 IPS |
|
|
Text Classification (HP)
|
100% |
488
651.2 IPS |
|
|
Text Classification (Q)
|
88% |
800
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
495
17.6 IPS |
