realme RMX3371
Geekbench AI Score
863
Single Precision Score
841
Half Precision Score
1537
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 02:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3371 |
| Model ID | realme RMX3371 |
| 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 | 5.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
395
73.4 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
100% |
1241
230.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
2480
2.94 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
83% |
986
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
2430
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1603
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1541
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2292
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3025
3.93 IPS |
|
|
Style Transfer (HP)
|
89% |
3023
3.92 IPS |
|
|
Style Transfer (Q)
|
98% |
5855
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1508
55.9 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.3 IPS |
|
|
Text Classification (HP)
|
100% |
497
662.7 IPS |
|
|
Text Classification (Q)
|
88% |
831
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
448
15.9 IPS |
