realme RMX3301
Geekbench AI Score
943
Single Precision Score
922
Half Precision Score
2199
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 07:27 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% |
412
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
100% |
1688
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1921
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1944
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
4279
5.08 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
83% |
1606
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
1465
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
3313
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1848
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1797
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3647
33.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3245
4.21 IPS |
|
|
Style Transfer (HP)
|
89% |
3127
4.06 IPS |
|
|
Style Transfer (Q)
|
98% |
9309
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2327
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.6 IPS |
|
|
Text Classification (HP)
|
100% |
468
624.4 IPS |
|
|
Text Classification (Q)
|
88% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
527
18.7 IPS |
