OnePlus PJZ110
Geekbench AI Score
2248
Single Precision Score
2318
Half Precision Score
2912
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bakacai |
| Upload Date | January 08 2025 08:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJZ110 |
| Model ID | OnePlus PJZ110 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 22.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1298
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
1632
303.6 IPS |
|
|
Image Classification (Q)
|
100% |
2785
518.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3888
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4425
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4264
4.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
10270
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1279
101.7 IPS |
|
|
Object Detection (HP)
|
98% |
1278
101.7 IPS |
|
|
Object Detection (Q)
|
83% |
2006
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (Q)
|
95% |
4948
59.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4000
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4000
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6184
56.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9810
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9915
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19782
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1691
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2709
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
473
638.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
254
9.02 IPS |
