OPPO PFUM10
Geekbench AI Score
187
Single Precision Score
284
Half Precision Score
297
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 05:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO PFUM10 |
| Model ID | OPPO PFUM10 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
97% |
183
34.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
226
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
272
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.33 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
86% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
97% |
458
5.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
429
3.31 IPS |
|
|
Depth Estimation (Q)
|
75% |
412
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
494
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1069
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1061
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
215
7.98 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.3 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.1 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.9 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.83 IPS |
|
|
Machine Translation (Q)
|
57% |
244
5.96 IPS |
