Oppo Find X5 Pro
Geekbench AI Score
201
Single Precision Score
202
Half Precision Score
469
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 07:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Oppo Find X5 Pro |
| Model ID | OPPO CPH2305 |
| 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 | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
99% |
305
56.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
790
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.13 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.18 IPS |
|
|
Object Detection (Q)
|
87% |
333
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
312
3.70 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
97% |
677
8.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
270
2.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
650
5.90 IPS |
|
|
Style Transfer (SP)
|
100% |
487
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
481
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1275
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
463
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.3 IPS |
|
|
Text Classification (Q)
|
91% |
302
405.3 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (Q)
|
57% |
247
6.03 IPS |
