realme RMX3708
Geekbench AI Score
1051
Single Precision Score
1022
Half Precision Score
2564
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 07:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3708 |
| Model ID | realme RMX3708 |
| Motherboard | taro |
| Governor | powersave |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
491
91.2 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
100% |
1967
365.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
2166
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2154
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
4791
5.68 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
83% |
1634
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (Q)
|
95% |
4175
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1993
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3899
35.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3519
4.57 IPS |
|
|
Style Transfer (HP)
|
89% |
3502
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
10729
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2950
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.3 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.2 IPS |
|
|
Text Classification (Q)
|
88% |
1184
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
604
21.4 IPS |
