Oppo Reno9 Pro+ 5G OPPO PGW110
Geekbench AI Score
335
Single Precision Score
11225
Half Precision Score
29890
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 13 2025 03:46 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
198
36.9 IPS |
|
|
Image Classification (HP)
|
100% |
8421
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
23558
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
6695
108.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19288
313.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
37508
43.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
226894
266.0 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
7913
627.7 IPS |
|
|
Object Detection (Q)
|
88% |
12165
974.5 IPS |
|
|
Face Detection (SP)
|
100% |
524
6.22 IPS |
|
|
Face Detection (HP)
|
100% |
18600
221.0 IPS |
|
|
Face Detection (Q)
|
97% |
75048
894.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
441
3.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
28334
218.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
66889
615.8 IPS |
|
|
Style Transfer (SP)
|
100% |
769
0.99 IPS |
|
|
Style Transfer (HP)
|
98% |
39467
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
227366
293.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21706
801.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
72355
2.68 KIPS |
|
|
Text Classification (SP)
|
100% |
286
381.1 IPS |
|
|
Text Classification (HP)
|
100% |
1907
2.55 KIPS |
|
|
Text Classification (Q)
|
94% |
4436
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (Q)
|
50% |
1239
42.9 IPS |
