OPPO CPH2825
Geekbench AI Score
1805
Single Precision Score
1789
Half Precision Score
3272
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 08:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OPPO CPH2825 |
| Model ID | OPPO CPH2825 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 3 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
1318
245.0 IPS |
|
|
Image Classification (Q)
|
100% |
2263
420.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2626
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3028
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
7302
8.66 IPS |
|
|
Object Detection (SP)
|
98% |
1325
105.4 IPS |
|
|
Object Detection (HP)
|
98% |
1378
109.6 IPS |
|
|
Object Detection (Q)
|
83% |
2231
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
2260
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (Q)
|
95% |
5346
63.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2737
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2450
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5449
49.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7277
9.45 IPS |
|
|
Style Transfer (HP)
|
89% |
7247
9.41 IPS |
|
|
Style Transfer (Q)
|
98% |
15557
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1377
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3756
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.7 IPS |
|
|
Text Classification (HP)
|
99% |
723
965.1 IPS |
|
|
Text Classification (Q)
|
88% |
1237
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
690
24.5 IPS |
