Oppo Find X5 Pro
Geekbench AI Score
203
Single Precision Score
10586
Half Precision Score
26441
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 07:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
117
21.8 IPS |
|
|
Image Classification (HP)
|
100% |
7715
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
21122
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
6440
104.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18589
302.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
35752
41.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
211719
248.2 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.23 IPS |
|
|
Object Detection (HP)
|
100% |
7471
592.6 IPS |
|
|
Object Detection (Q)
|
88% |
11221
898.9 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.71 IPS |
|
|
Face Detection (HP)
|
100% |
17100
203.2 IPS |
|
|
Face Detection (Q)
|
97% |
59113
704.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
27576
213.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
59523
548.0 IPS |
|
|
Style Transfer (SP)
|
100% |
484
0.62 IPS |
|
|
Style Transfer (HP)
|
98% |
38747
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
210835
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19034
702.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
50475
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
169
225.7 IPS |
|
|
Text Classification (HP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (Q)
|
94% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
296
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (Q)
|
50% |
1171
40.5 IPS |
