OPPO PGBM10
Geekbench AI Score
989
Single Precision Score
1021
Half Precision Score
2051
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 13 2025 05:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
100% |
1419
263.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
470
7.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1573
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2086
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
3911
4.64 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1323
106.9 IPS |
|
|
Face Detection (SP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (Q)
|
95% |
3428
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1922
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1916
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3435
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4026
5.23 IPS |
|
|
Style Transfer (HP)
|
89% |
4003
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
8749
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2082
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
523
697.5 IPS |
|
|
Text Classification (HP)
|
100% |
527
703.0 IPS |
|
|
Text Classification (Q)
|
88% |
1021
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
