Oppo Find X7
Geekbench AI Score
1117
Single Precision Score
4979
Half Precision Score
4630
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | May 08 2025 05:18 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | MediaTek Dimensity 9300 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Oppo Find X7 |
| Model ID | OPPO PHZ110 |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 14.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1174
218.4 IPS |
|
|
Image Classification (HP)
|
100% |
4301
799.8 IPS |
|
|
Image Classification (Q)
|
99% |
8734
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4202
68.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1835
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8668
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18347
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
74808
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
100% |
4550
360.9 IPS |
|
|
Object Detection (Q)
|
86% |
5541
445.7 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
11789
140.1 IPS |
|
|
Face Detection (Q)
|
97% |
11521
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
819
6.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
19178
147.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
32884
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2230
2.87 IPS |
|
|
Style Transfer (HP)
|
100% |
648
0.83 IPS |
|
|
Style Transfer (Q)
|
30% |
324
4.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2880
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10717
395.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7851
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
119
158.5 IPS |
|
|
Text Classification (HP)
|
97% |
1990
2.66 KIPS |
|
|
Text Classification (Q)
|
73% |
1902
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (HP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (Q)
|
60% |
372
8.38 IPS |
