Oppo Find X5 Pro
Geekbench AI Score
234
Single Precision Score
236
Half Precision Score
567
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 10:06 PM |
| Views | 6 |
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% |
135
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
99% |
376
70.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
409
6.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
253
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
967
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
87% |
410
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (HP)
|
100% |
377
4.47 IPS |
|
|
Face Detection (Q)
|
97% |
867
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
318
2.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
779
7.07 IPS |
|
|
Style Transfer (SP)
|
100% |
560
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1455
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
555
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
198
263.8 IPS |
|
|
Text Classification (HP)
|
100% |
197
263.2 IPS |
|
|
Text Classification (Q)
|
91% |
358
480.8 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.93 IPS |
|
|
Machine Translation (Q)
|
57% |
293
7.15 IPS |
