realme realme 5
Geekbench AI Score
314
Single Precision Score
322
Half Precision Score
351
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 05:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme realme 5 |
| Model ID | realme realme 5 |
| Motherboard | trinket |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
100% |
245
45.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
289
4.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
699
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
522
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
234
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.64 IPS |
|
|
Face Detection (Q)
|
95% |
544
6.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
529
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
512
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
517
4.73 IPS |
|
|
Style Transfer (SP)
|
89% |
1300
1.69 IPS |
|
|
Style Transfer (HP)
|
89% |
1305
1.69 IPS |
|
|
Style Transfer (Q)
|
98% |
1418
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
304
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
157
210.2 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.9 IPS |
|
|
Text Classification (Q)
|
88% |
215
290.3 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (Q)
|
50% |
126
4.46 IPS |
