HONOR PGT-N19
Geekbench AI Score
913
Single Precision Score
1328
Half Precision Score
1246
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Annihilator |
| Upload Date | January 01 2025 11:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR PGT-N19 |
| Model ID | HONOR PGT-N19 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
582
108.2 IPS |
|
|
Image Classification (HP)
|
100% |
1055
196.2 IPS |
|
|
Image Classification (Q)
|
96% |
1046
195.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1062
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1422
1.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1417
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (Q)
|
87% |
799
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
2084
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (Q)
|
97% |
3078
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1411
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2704
20.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2210
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3622
4.66 IPS |
|
|
Style Transfer (HP)
|
100% |
8149
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7995
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
384
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.7 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.7 IPS |
|
|
Text Classification (Q)
|
91% |
683
917.5 IPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
503
12.3 IPS |
