Oppo Find X6 Pro
Geekbench AI Score
387
Single Precision Score
386
Half Precision Score
814
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | COTJAR |
| Upload Date | January 06 2026 07:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
99% |
581
108.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
1692
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
87% |
652
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
603
7.17 IPS |
|
|
Face Detection (HP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (Q)
|
97% |
1092
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
471
3.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1045
9.49 IPS |
|
|
Style Transfer (SP)
|
100% |
780
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
778
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
2026
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
244
9.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
857
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
324
432.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
421.1 IPS |
|
|
Text Classification (Q)
|
91% |
473
635.3 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
57% |
346
8.45 IPS |
