HONOR PTP-N49
Geekbench AI Score
2616
Single Precision Score
3991
Half Precision Score
3398
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | slavatsarev |
| Upload Date | November 12 2025 03:27 PM |
| Views | 2 |
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% |
1700
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (Q)
|
100% |
2314
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3104
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5309
86.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5605
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12795
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22975
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22577
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
99% |
1987
157.6 IPS |
|
|
Object Detection (Q)
|
85% |
1946
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
5416
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
9644
114.6 IPS |
|
|
Face Detection (Q)
|
97% |
7909
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6605
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9062
70.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7079
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15843
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35665
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35158
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3489
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5342
197.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5426
201.1 IPS |
|
|
Text Classification (SP)
|
35% |
75
731.1 IPS |
|
|
Text Classification (HP)
|
35% |
75
686.0 IPS |
|
|
Text Classification (Q)
|
33% |
62
692.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1489
25.6 IPS |
|
|
Machine Translation (Q)
|
48% |
545
20.9 IPS |
