realme GT Master Explorer Edition realme RMX3366
Geekbench AI Score
412
Single Precision Score
677
Half Precision Score
695
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 13 2025 07:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (Q)
|
97% |
423
78.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
638
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1050
1.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
1037
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.2 IPS |
|
|
Object Detection (Q)
|
89% |
322
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
667
7.92 IPS |
|
|
Face Detection (HP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
1301
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
657
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1264
9.76 IPS |
|
|
Depth Estimation (Q)
|
62% |
1026
9.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1263
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3178
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
3135
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
611
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.8 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.1 IPS |
|
|
Text Classification (Q)
|
91% |
321
431.0 IPS |
|
|
Machine Translation (SP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
57% |
358
8.75 IPS |
