HONOR PGT-N19
Geekbench AI Score
723
Single Precision Score
749
Half Precision Score
1496
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Annihilator |
| Upload Date | January 01 2025 11:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
414
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
100% |
975
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1063
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1859
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1364
1.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
2941
3.49 IPS |
|
|
Object Detection (SP)
|
98% |
381
30.3 IPS |
|
|
Object Detection (HP)
|
98% |
420
33.4 IPS |
|
|
Object Detection (Q)
|
83% |
1290
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
95% |
2147
25.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1150
8.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
1115
8.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
3144
28.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2635
3.42 IPS |
|
|
Style Transfer (HP)
|
89% |
2546
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6260
8.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1545
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.4 IPS |
|
|
Text Classification (HP)
|
99% |
423
564.0 IPS |
|
|
Text Classification (Q)
|
88% |
574
774.8 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
383
13.6 IPS |
