HONOR PGT-N19
Geekbench AI Score
464
Single Precision Score
16661
Half Precision Score
37672
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Annihilator |
| Upload Date | January 01 2025 12:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
13228
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
32396
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
7851
127.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21906
356.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
72374
84.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
296133
346.6 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
12280
974.0 IPS |
|
|
Object Detection (Q)
|
86% |
13908
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (HP)
|
100% |
26083
309.9 IPS |
|
|
Face Detection (Q)
|
97% |
92452
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
45223
348.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
82730
774.7 IPS |
|
|
Style Transfer (SP)
|
100% |
951
1.22 IPS |
|
|
Style Transfer (HP)
|
98% |
60161
77.6 IPS |
|
|
Style Transfer (Q)
|
98% |
294663
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32810
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82290
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
408
544.5 IPS |
|
|
Text Classification (HP)
|
100% |
2536
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5668
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1874
49.1 IPS |
