Oppo Find X6 Pro
Geekbench AI Score
2059
Single Precision Score
2010
Half Precision Score
3341
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | COTJAR |
| Upload Date | January 06 2026 07:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
100% |
2546
473.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2752
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3138
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
6945
8.24 IPS |
|
|
Object Detection (SP)
|
98% |
1543
122.8 IPS |
|
|
Object Detection (HP)
|
98% |
1545
122.9 IPS |
|
|
Object Detection (Q)
|
83% |
2405
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
3084
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
5448
65.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3043
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3075
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5436
49.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7320
9.50 IPS |
|
|
Style Transfer (HP)
|
89% |
7246
9.41 IPS |
|
|
Style Transfer (Q)
|
98% |
14297
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1443
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3878
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
723
965.1 IPS |
|
|
Text Classification (HP)
|
99% |
723
964.5 IPS |
|
|
Text Classification (Q)
|
88% |
1207
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
748
26.6 IPS |
