Oppo Find X8 Pro
Geekbench AI Score
1746
Single Precision Score
1729
Half Precision Score
2129
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 04:16 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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
1215
226.0 IPS |
|
|
Image Classification (Q)
|
100% |
1756
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1956
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2634
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2572
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
4831
5.73 IPS |
|
|
Object Detection (SP)
|
98% |
1012
80.5 IPS |
|
|
Object Detection (HP)
|
98% |
1025
81.6 IPS |
|
|
Object Detection (Q)
|
83% |
1370
110.6 IPS |
|
|
Face Detection (SP)
|
100% |
2475
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (Q)
|
95% |
3571
42.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3092
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3078
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3800
34.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5970
7.75 IPS |
|
|
Style Transfer (HP)
|
89% |
5932
7.70 IPS |
|
|
Style Transfer (Q)
|
98% |
10636
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1315
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2268
84.0 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.4 IPS |
|
|
Text Classification (HP)
|
99% |
587
783.7 IPS |
|
|
Text Classification (Q)
|
88% |
643
867.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1524
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
400
14.2 IPS |
