Oppo Find X8 Pro
Geekbench AI Score
1606
Single Precision Score
1629
Half Precision Score
2280
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 06:33 PM |
| Views | 3 |
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% |
1083
201.4 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (Q)
|
100% |
1632
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1789
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2529
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2390
2.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
4585
5.44 IPS |
|
|
Object Detection (SP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (HP)
|
98% |
992
78.9 IPS |
|
|
Object Detection (Q)
|
83% |
1520
122.8 IPS |
|
|
Face Detection (SP)
|
100% |
2273
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (Q)
|
95% |
3647
43.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2815
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2892
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3748
34.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5608
7.28 IPS |
|
|
Style Transfer (HP)
|
89% |
5523
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
9423
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2353
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
536
716.0 IPS |
|
|
Text Classification (HP)
|
99% |
538
717.7 IPS |
|
|
Text Classification (Q)
|
88% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
644
22.9 IPS |
