realme RMX3312
Geekbench AI Score
768
Single Precision Score
772
Half Precision Score
1407
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 05:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3312 |
| Model ID | realme RMX3312 |
| Motherboard | lahaina |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
100% |
1299
241.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1536
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
2915
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
83% |
1254
101.3 IPS |
|
|
Face Detection (SP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
95% |
3023
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1780
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1769
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2760
25.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3344
4.34 IPS |
|
|
Style Transfer (HP)
|
89% |
3332
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6859
8.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1657
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.5 IPS |
|
|
Text Classification (HP)
|
100% |
169
226.1 IPS |
|
|
Text Classification (Q)
|
88% |
275
370.9 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
