Oppo Find X6 Pro
Geekbench AI Score
367
Single Precision Score
16726
Half Precision Score
41127
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | COTJAR |
| Upload Date | January 06 2026 07:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
13089
2.43 KIPS |
|
|
Image Classification (Q)
|
96% |
31508
5.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
7750
125.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
25982
422.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
394
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
71741
83.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
290205
339.7 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
11563
917.2 IPS |
|
|
Object Detection (Q)
|
86% |
17639
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (HP)
|
100% |
24001
285.2 IPS |
|
|
Face Detection (Q)
|
97% |
79947
953.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
43414
334.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
101469
955.7 IPS |
|
|
Style Transfer (SP)
|
100% |
779
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
55830
71.8 IPS |
|
|
Style Transfer (Q)
|
98% |
284499
366.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32174
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82751
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
311
414.7 IPS |
|
|
Text Classification (HP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (Q)
|
93% |
8061
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (HP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (Q)
|
55% |
2146
56.2 IPS |
