Oppo Find X8 Pro
Geekbench AI Score
1800
Single Precision Score
1795
Half Precision Score
2574
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 20 2025 12:06 PM |
| Views | 13 |
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% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (Q)
|
100% |
1951
362.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2092
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2702
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
4931
5.85 IPS |
|
|
Object Detection (SP)
|
98% |
1119
89.1 IPS |
|
|
Object Detection (HP)
|
98% |
1151
91.6 IPS |
|
|
Object Detection (Q)
|
83% |
1657
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (Q)
|
95% |
4026
48.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3070
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3026
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4135
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6025
7.82 IPS |
|
|
Style Transfer (HP)
|
89% |
6035
7.83 IPS |
|
|
Style Transfer (Q)
|
98% |
10772
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1380
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2679
99.3 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.4 IPS |
|
|
Text Classification (HP)
|
99% |
621
829.3 IPS |
|
|
Text Classification (Q)
|
88% |
1120
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (Q)
|
50% |
712
25.3 IPS |
