Oppo Find X5 Pro
Geekbench AI Score
971
Single Precision Score
953
Half Precision Score
2198
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 02:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Oppo Find X5 Pro |
| Model ID | OPPO CPH2305 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
100% |
1718
319.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1892
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1998
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
4318
5.12 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
1446
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
1460
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1434
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
3425
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1850
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1827
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3543
32.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3253
4.22 IPS |
|
|
Style Transfer (HP)
|
89% |
3239
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
9449
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2339
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
497
663.0 IPS |
|
|
Text Classification (HP)
|
100% |
489
653.0 IPS |
|
|
Text Classification (Q)
|
88% |
927
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
