HONOR PTP-N49
Geekbench AI Score
993
Single Precision Score
1773
Half Precision Score
1838
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 04:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm SM8750 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR PTP-N49 |
| Model ID | HONOR PTP-N49 |
| Motherboard | PTP |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm SM8750 |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
683
126.9 IPS |
|
|
Image Classification (HP)
|
100% |
962
178.8 IPS |
|
|
Image Classification (Q)
|
99% |
1378
257.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2239
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
2787
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (Q)
|
86% |
1051
84.4 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (Q)
|
97% |
5186
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4621
35.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3807
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5782
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
12354
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12285
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2084
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
203
270.8 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.8 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.7 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.04 IPS |
