Oppo Find X8 Pro
Geekbench AI Score
1872
Single Precision Score
1853
Half Precision Score
2682
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 07:01 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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
1211
225.1 IPS |
|
|
Image Classification (Q)
|
100% |
1947
362.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2076
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2687
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5182
6.15 IPS |
|
|
Object Detection (SP)
|
98% |
1158
92.1 IPS |
|
|
Object Detection (HP)
|
98% |
1226
97.6 IPS |
|
|
Object Detection (Q)
|
83% |
1769
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2563
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (Q)
|
95% |
4189
50.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3235
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3191
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4418
40.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6272
8.14 IPS |
|
|
Style Transfer (HP)
|
89% |
6284
8.16 IPS |
|
|
Style Transfer (Q)
|
98% |
11263
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2822
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.9 IPS |
|
|
Text Classification (HP)
|
99% |
635
848.1 IPS |
|
|
Text Classification (Q)
|
88% |
1175
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (Q)
|
50% |
754
26.8 IPS |
