realme RMX3999
Geekbench AI Score
515
Single Precision Score
507
Half Precision Score
950
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 01 2024 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3999 |
| Model ID | realme RMX3999 |
| Motherboard | k6835v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
100% |
645
119.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1119
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1629
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
83% |
654
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (Q)
|
95% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
948
7.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
944
7.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1509
13.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1890
2.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1887
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3784
4.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.4 IPS |
|
|
Text Classification (HP)
|
100% |
259
346.3 IPS |
|
|
Text Classification (Q)
|
88% |
467
629.5 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.21 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
