Oppo Find X8 Pro
Geekbench AI Score
979
Single Precision Score
1064
Half Precision Score
1059
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
406
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
99% |
457
85.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1267
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1228
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1690
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
1669
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
83% |
571
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
1922
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2141
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2749
21.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2332
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4587
5.90 IPS |
|
|
Style Transfer (HP)
|
100% |
6593
8.48 IPS |
|
|
Style Transfer (Q)
|
98% |
6536
8.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
784
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
930
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
411
547.9 IPS |
|
|
Text Classification (HP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (Q)
|
91% |
557
748.8 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.21 IPS |
