OPPO PGX110
Geekbench AI Score
733
Single Precision Score
692
Half Precision Score
1268
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 25 2025 10:32 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO PGX110 |
| Model ID | OPPO PGX110 |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 15.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
100% |
1698
315.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1965
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1308
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
1935
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
83% |
793
64.1 IPS |
|
|
Face Detection (SP)
|
100% |
978
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
1857
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1282
9.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1270
9.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
1875
17.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2285
2.97 IPS |
|
|
Style Transfer (HP)
|
89% |
2096
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
4366
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
562
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1036
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.6 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.7 IPS |
|
|
Text Classification (Q)
|
88% |
498
672.0 IPS |
|
|
Machine Translation (SP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (Q)
|
50% |
269
9.55 IPS |
