Oppo Find X7
Geekbench AI Score
979
Single Precision Score
1239
Half Precision Score
1238
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | May 08 2025 05:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1066
198.2 IPS |
|
|
Image Classification (HP)
|
100% |
1481
275.5 IPS |
|
|
Image Classification (Q)
|
99% |
1047
195.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1830
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1208
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1192
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (HP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (Q)
|
83% |
1311
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
4520
53.7 IPS |
|
|
Face Detection (Q)
|
97% |
3917
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1688
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2249
17.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1827
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4257
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5524
7.10 IPS |
|
|
Style Transfer (Q)
|
98% |
5587
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
917
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1180
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
130
174.0 IPS |
|
|
Text Classification (HP)
|
100% |
131
174.4 IPS |
|
|
Text Classification (Q)
|
91% |
251
337.6 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.09 IPS |
|
|
Machine Translation (Q)
|
57% |
239
5.85 IPS |
