Oppo Find X5 Pro
Geekbench AI Score
944
Single Precision Score
1405
Half Precision Score
1233
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 06:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
681
126.6 IPS |
|
|
Image Classification (HP)
|
100% |
924
171.8 IPS |
|
|
Image Classification (Q)
|
99% |
1019
190.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1430
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6373
7.44 IPS |
|
|
Pose Estimation (HP)
|
99% |
11191
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
10411
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
99% |
746
59.1 IPS |
|
|
Object Detection (Q)
|
85% |
743
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
1810
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
2224
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2915
22.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4129
31.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
3435
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6916
8.89 IPS |
|
|
Style Transfer (HP)
|
100% |
12845
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
12501
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1614
59.8 IPS |
|
|
Text Classification (SP)
|
35% |
20
196.9 IPS |
|
|
Text Classification (HP)
|
35% |
27
242.2 IPS |
|
|
Text Classification (Q)
|
35% |
24
213.7 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (HP)
|
97% |
268
4.63 IPS |
|
|
Machine Translation (Q)
|
64% |
196
4.03 IPS |
