realme RMX3943
Geekbench AI Score
160
Single Precision Score
218
Half Precision Score
216
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 29 2025 07:18 PM |
| Views | 52 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3943 |
| Model ID | realme RMX3943 |
| Motherboard | k6835v2_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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
99% |
165
30.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
243
3.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
116
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
116
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
80
6.38 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.94 IPS |
|
|
Object Detection (Q)
|
83% |
121
9.81 IPS |
|
|
Face Detection (SP)
|
100% |
308
3.65 IPS |
|
|
Face Detection (HP)
|
100% |
428
5.08 IPS |
|
|
Face Detection (Q)
|
97% |
429
5.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
186
1.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
62% |
197
1.87 IPS |
|
|
Style Transfer (SP)
|
100% |
370
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
520
0.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
94
3.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
142
5.25 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.6 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.1 IPS |
|
|
Text Classification (Q)
|
91% |
278
373.7 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
57% |
227
5.54 IPS |
