realme RMX3999
Geekbench AI Score
146
Single Precision Score
203
Half Precision Score
198
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 08:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
219
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
103
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.97 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (Q)
|
83% |
120
9.72 IPS |
|
|
Face Detection (SP)
|
100% |
286
3.39 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (Q)
|
97% |
406
4.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
167
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
220
1.69 IPS |
|
|
Depth Estimation (Q)
|
62% |
177
1.68 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
466
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
129
4.79 IPS |
|
|
Text Classification (SP)
|
100% |
159
211.6 IPS |
|
|
Text Classification (HP)
|
100% |
159
211.9 IPS |
|
|
Text Classification (Q)
|
91% |
254
341.9 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
57% |
209
5.12 IPS |
