Oppo Reno9 Pro+ 5G OPPO PGW110
Geekbench AI Score
730
Single Precision Score
1077
Half Precision Score
1073
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 13 2025 03:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO PGW110 |
| Model ID | OPPO PGW110 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.3 IPS |
|
|
Image Classification (Q)
|
97% |
520
97.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1124
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1309
1.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
1315
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
89% |
696
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
1815
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
2672
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
2442
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1141
8.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
2690
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2145
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2935
3.77 IPS |
|
|
Style Transfer (HP)
|
100% |
6518
8.38 IPS |
|
|
Style Transfer (Q)
|
98% |
6683
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
493
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.3 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.8 IPS |
|
|
Text Classification (Q)
|
91% |
516
693.4 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
57% |
425
10.4 IPS |
