realme RMX3999
Geekbench AI Score
147
Single Precision Score
202
Half Precision Score
199
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 07:23 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% |
94
17.6 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
222
3.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
104
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.91 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.59 IPS |
|
|
Object Detection (Q)
|
83% |
122
9.84 IPS |
|
|
Face Detection (SP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (HP)
|
100% |
402
4.77 IPS |
|
|
Face Detection (Q)
|
97% |
392
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
167
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
219
1.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
177
1.67 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
469
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
468
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
128
4.75 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.5 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.9 IPS |
|
|
Text Classification (Q)
|
91% |
254
341.6 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
57% |
210
5.13 IPS |
