Oppo Find X6 Pro
Geekbench AI Score
2361
Single Precision Score
2380
Half Precision Score
3660
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | qpo |
| Upload Date | May 25 2025 05:21 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Oppo Find X6 Pro |
| Model ID | OPPO PGEM10 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1827
339.8 IPS |
|
|
Image Classification (HP)
|
100% |
1836
341.5 IPS |
|
|
Image Classification (Q)
|
100% |
2722
506.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2602
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3374
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
7590
9.00 IPS |
|
|
Object Detection (SP)
|
98% |
1717
136.6 IPS |
|
|
Object Detection (HP)
|
98% |
1868
148.6 IPS |
|
|
Object Detection (Q)
|
83% |
2801
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
3452
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (Q)
|
95% |
6231
74.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3349
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3337
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6134
56.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8243
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8138
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14797
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4118
152.6 IPS |
|
|
Text Classification (SP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
871
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1358
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1718
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1718
29.6 IPS |
|
|
Machine Translation (Q)
|
50% |
908
32.2 IPS |
