Oppo Find X5 Pro
Geekbench AI Score
278
Single Precision Score
11080
Half Precision Score
28118
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 11:16 PM |
| Views | 3 |
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% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
8266
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
23084
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
6681
108.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18991
308.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
36727
42.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
224513
263.2 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
7829
621.0 IPS |
|
|
Object Detection (Q)
|
88% |
11893
952.8 IPS |
|
|
Face Detection (SP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (HP)
|
100% |
18237
216.7 IPS |
|
|
Face Detection (Q)
|
97% |
69939
833.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
374
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
28078
216.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
62194
572.6 IPS |
|
|
Style Transfer (SP)
|
100% |
656
0.84 IPS |
|
|
Style Transfer (HP)
|
98% |
38985
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
212963
274.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21595
797.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52994
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
239
319.3 IPS |
|
|
Text Classification (HP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (Q)
|
94% |
4372
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (HP)
|
100% |
2186
37.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1230
42.6 IPS |
