Oppo Find X5 Pro
Geekbench AI Score
890
Single Precision Score
946
Half Precision Score
2185
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 06:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
492
91.6 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.3 IPS |
|
|
Image Classification (Q)
|
100% |
1710
317.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1843
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
4236
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (Q)
|
83% |
1476
119.3 IPS |
|
|
Face Detection (SP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1435
17.1 IPS |
|
|
Face Detection (Q)
|
95% |
3397
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1802
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1806
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3531
32.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2799
3.63 IPS |
|
|
Style Transfer (HP)
|
89% |
3209
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
9617
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2348
87.0 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.4 IPS |
|
|
Text Classification (HP)
|
100% |
497
662.8 IPS |
|
|
Text Classification (Q)
|
88% |
896
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
519
18.4 IPS |
