Oppo Find X6 Pro
Geekbench AI Score
1653
Single Precision Score
2542
Half Precision Score
2281
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | COTJAR |
| Upload Date | January 06 2026 07:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
944
175.5 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (Q)
|
99% |
1232
229.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3506
56.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2712
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8065
9.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
14603
17.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
14245
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
940
74.6 IPS |
|
|
Object Detection (HP)
|
99% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
85% |
1269
102.1 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
5825
69.2 IPS |
|
|
Face Detection (Q)
|
97% |
4886
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4131
31.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5940
45.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
4977
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10663
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22654
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22057
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3135
116.2 IPS |
|
|
Text Classification (SP)
|
35% |
40
391.4 IPS |
|
|
Text Classification (HP)
|
35% |
57
514.9 IPS |
|
|
Text Classification (Q)
|
35% |
57
520.7 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
97% |
821
14.2 IPS |
|
|
Machine Translation (Q)
|
64% |
659
13.5 IPS |
