realme RMX3999
Geekbench AI Score
516
Single Precision Score
517
Half Precision Score
955
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 01 2024 11:01 AM |
| Views | 5 |
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% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
713
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1134
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1646
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
83% |
652
52.6 IPS |
|
|
Face Detection (SP)
|
100% |
717
8.52 IPS |
|
|
Face Detection (HP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (Q)
|
95% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
943
7.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
938
7.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
1515
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1850
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1893
2.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3780
4.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
916
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.5 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.7 IPS |
|
|
Text Classification (Q)
|
88% |
484
652.7 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
