OPPO PGFM10
Geekbench AI Score
473
Single Precision Score
2393
Half Precision Score
3307
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 05:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO PGFM10 |
| Model ID | OPPO PGFM10 |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
563
104.8 IPS |
|
|
Image Classification (HP)
|
100% |
2584
480.5 IPS |
|
|
Image Classification (Q)
|
99% |
6089
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1223
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3038
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
8088
9.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
32893
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (HP)
|
100% |
2265
179.7 IPS |
|
|
Object Detection (Q)
|
86% |
3594
289.1 IPS |
|
|
Face Detection (SP)
|
28% |
44
8.21 IPS |
|
|
Face Detection (HP)
|
100% |
6795
80.7 IPS |
|
|
Face Detection (Q)
|
97% |
10112
120.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
945
7.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
9893
76.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
22821
216.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2320
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
30% |
529
7.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4175
608.1 IPS |
|
|
Text Classification (SP)
|
100% |
59
79.2 IPS |
|
|
Text Classification (HP)
|
100% |
413
551.6 IPS |
|
|
Text Classification (Q)
|
93% |
899
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
60% |
389
8.76 IPS |
