Oppo Find X8 Pro
Geekbench AI Score
1843
Single Precision Score
1827
Half Precision Score
2278
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:05 AM |
| Views | 1 |
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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.3 IPS |
|
|
Image Classification (Q)
|
100% |
1768
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2036
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2701
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
5028
5.96 IPS |
|
|
Object Detection (SP)
|
98% |
1114
88.7 IPS |
|
|
Object Detection (HP)
|
98% |
1103
87.8 IPS |
|
|
Object Detection (Q)
|
83% |
1591
128.6 IPS |
|
|
Face Detection (SP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
3742
44.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3216
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3195
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4069
37.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6291
8.17 IPS |
|
|
Style Transfer (HP)
|
89% |
6309
8.19 IPS |
|
|
Style Transfer (Q)
|
98% |
11073
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2479
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.5 IPS |
|
|
Text Classification (HP)
|
99% |
629
840.1 IPS |
|
|
Text Classification (Q)
|
88% |
657
885.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1576
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
476
16.9 IPS |
