OPPO PGAM10
Geekbench AI Score
132
Single Precision Score
129
Half Precision Score
307
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 09:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO PGAM10 |
| Model ID | OPPO PGAM10 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
99% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
263
4.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
130
0.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
505
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.70 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.74 IPS |
|
|
Object Detection (Q)
|
87% |
206
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (Q)
|
97% |
432
5.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
160
1.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
155
1.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
383
3.48 IPS |
|
|
Style Transfer (SP)
|
100% |
266
0.34 IPS |
|
|
Style Transfer (HP)
|
100% |
266
0.34 IPS |
|
|
Style Transfer (Q)
|
98% |
767
0.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77
2.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
78
2.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
264
9.79 IPS |
|
|
Text Classification (SP)
|
100% |
97
129.9 IPS |
|
|
Text Classification (HP)
|
100% |
96
128.1 IPS |
|
|
Text Classification (Q)
|
91% |
184
247.6 IPS |
|
|
Machine Translation (SP)
|
100% |
165
2.83 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (Q)
|
57% |
163
3.98 IPS |
