Oppo Find X8 Pro
Geekbench AI Score
1882
Single Precision Score
1838
Half Precision Score
2680
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | slavatsarev |
| Upload Date | May 25 2025 06:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 9400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Oppo Find X8 Pro |
| Model ID | OPPO CPH2659 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1244
231.4 IPS |
|
|
Image Classification (HP)
|
100% |
1160
215.7 IPS |
|
|
Image Classification (Q)
|
100% |
1914
356.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2078
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2697
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
5143
6.10 IPS |
|
|
Object Detection (SP)
|
98% |
1198
95.4 IPS |
|
|
Object Detection (HP)
|
98% |
1186
94.3 IPS |
|
|
Object Detection (Q)
|
83% |
1871
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (Q)
|
95% |
4253
50.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3188
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3218
24.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4316
39.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6196
8.04 IPS |
|
|
Style Transfer (HP)
|
89% |
6291
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
11349
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2809
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
652
869.9 IPS |
|
|
Text Classification (HP)
|
99% |
631
842.5 IPS |
|
|
Text Classification (Q)
|
88% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (Q)
|
50% |
741
26.3 IPS |
