realme RMX3301
Geekbench AI Score
435
Single Precision Score
436
Half Precision Score
1043
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 05:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3301 |
| Model ID | realme RMX3301 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
100% |
750
139.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
2183
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
745
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
590
7.01 IPS |
|
|
Face Detection (HP)
|
100% |
593
7.05 IPS |
|
|
Face Detection (Q)
|
95% |
1488
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
787
6.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
705
5.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
1652
15.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1525
1.98 IPS |
|
|
Style Transfer (HP)
|
89% |
1560
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
4227
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1070
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
217
289.3 IPS |
|
|
Text Classification (HP)
|
100% |
238
318.3 IPS |
|
|
Text Classification (Q)
|
88% |
507
684.2 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
