OPPO PGBM10
Geekbench AI Score
650
Single Precision Score
1002
Half Precision Score
731
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 13 2025 05:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6893Z_Z/CZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO PGBM10 |
| Model ID | OPPO PGBM10 |
| Motherboard | k6893v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z_Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.5 IPS |
|
|
Image Classification (Q)
|
97% |
330
61.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1394
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3923
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
7335
8.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
7070
8.29 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
83% |
382
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (Q)
|
96% |
1497
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2288
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3796
29.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3008
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6690
8.60 IPS |
|
|
Style Transfer (HP)
|
100% |
13710
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13347
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1017
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
955
35.4 IPS |
|
|
Text Classification (SP)
|
35% |
13
121.5 IPS |
|
|
Text Classification (HP)
|
35% |
17
153.4 IPS |
|
|
Text Classification (Q)
|
29% |
9
148.0 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
43% |
68
3.93 IPS |
