Oppo Find X5 Pro
Geekbench AI Score
203
Single Precision Score
10812
Half Precision Score
26931
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 02:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
117
21.8 IPS |
|
|
Image Classification (HP)
|
100% |
7904
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
21263
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
6402
103.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18520
301.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
36666
42.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
221111
259.2 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.28 IPS |
|
|
Object Detection (HP)
|
100% |
7571
600.5 IPS |
|
|
Object Detection (Q)
|
88% |
11457
917.8 IPS |
|
|
Face Detection (SP)
|
100% |
315
3.75 IPS |
|
|
Face Detection (HP)
|
100% |
17416
206.9 IPS |
|
|
Face Detection (Q)
|
97% |
62315
743.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
270
2.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
27633
213.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
59862
551.1 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
98% |
39972
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
210663
271.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21085
778.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52633
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
170
227.5 IPS |
|
|
Text Classification (HP)
|
100% |
1832
2.44 KIPS |
|
|
Text Classification (Q)
|
94% |
4144
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
296
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (Q)
|
50% |
1174
40.6 IPS |
