Oppo Find X8 Pro
Geekbench AI Score
1579
Single Precision Score
1553
Half Precision Score
2271
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 04:35 PM |
| Views | 7 |
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% |
1274
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
1173
218.1 IPS |
|
|
Image Classification (Q)
|
100% |
1943
361.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2073
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2720
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5171
6.13 IPS |
|
|
Object Detection (SP)
|
98% |
1129
89.9 IPS |
|
|
Object Detection (HP)
|
98% |
1213
96.5 IPS |
|
|
Object Detection (Q)
|
83% |
1508
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3681
43.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2333
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2497
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3451
31.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5083
6.60 IPS |
|
|
Style Transfer (HP)
|
89% |
4999
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
8987
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2237
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.4 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.7 IPS |
|
|
Text Classification (Q)
|
88% |
947
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
482
17.1 IPS |
