Oppo Find X8 Pro
Geekbench AI Score
1742
Single Precision Score
1768
Half Precision Score
2526
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 14 2025 07:24 AM |
| Views | 4 |
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% |
1086
202.0 IPS |
|
|
Image Classification (HP)
|
100% |
1043
193.9 IPS |
|
|
Image Classification (Q)
|
100% |
1816
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1929
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2643
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2631
3.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
4866
5.77 IPS |
|
|
Object Detection (SP)
|
98% |
1040
82.8 IPS |
|
|
Object Detection (HP)
|
98% |
1107
88.1 IPS |
|
|
Object Detection (Q)
|
83% |
1766
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (Q)
|
95% |
3962
47.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3030
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2984
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4081
37.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5887
7.64 IPS |
|
|
Style Transfer (HP)
|
89% |
6093
7.91 IPS |
|
|
Style Transfer (Q)
|
98% |
10793
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2646
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
603
804.2 IPS |
|
|
Text Classification (HP)
|
99% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
1108
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
689
24.5 IPS |
