realme RMX3890
Geekbench AI Score
142
Single Precision Score
218
Half Precision Score
200
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | batu69 |
| Upload Date | October 01 2025 02:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3890 |
| Model ID | realme RMX3890 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
161
30.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
861
1.00 IPS |
|
|
Pose Estimation (Q)
|
97% |
844
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.90 IPS |
|
|
Object Detection (HP)
|
99% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
85% |
133
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (HP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (Q)
|
97% |
447
5.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
98% |
500
3.86 IPS |
|
|
Depth Estimation (Q)
|
63% |
410
3.79 IPS |
|
|
Style Transfer (SP)
|
100% |
745
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1181
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1151
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
196
7.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
179
6.62 IPS |
|
|
Text Classification (SP)
|
35% |
6
58.2 IPS |
|
|
Text Classification (HP)
|
35% |
9
85.0 IPS |
|
|
Text Classification (Q)
|
35% |
9
82.7 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (HP)
|
97% |
104
1.80 IPS |
|
|
Machine Translation (Q)
|
64% |
77
1.58 IPS |
