HONOR PTP-N49
Geekbench AI Score
1393
Single Precision Score
1309
Half Precision Score
2214
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | November 28 2025 05:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1795
333.8 IPS |
|
|
Image Classification (HP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (Q)
|
100% |
1704
316.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2182
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2440
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
5937
7.04 IPS |
|
|
Object Detection (SP)
|
98% |
822
65.4 IPS |
|
|
Object Detection (HP)
|
98% |
813
64.7 IPS |
|
|
Object Detection (Q)
|
83% |
1705
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
2310
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (Q)
|
95% |
3817
45.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2104
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4582
42.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5238
6.80 IPS |
|
|
Style Transfer (HP)
|
89% |
5099
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
11647
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2736
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.7 IPS |
|
|
Text Classification (HP)
|
99% |
376
502.2 IPS |
|
|
Text Classification (Q)
|
88% |
394
531.0 IPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
