HONOR PTP-N49
Geekbench AI Score
1361
Single Precision Score
1382
Half Precision Score
2217
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | December 01 2025 03:29 PM |
| Views | 10 |
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% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (Q)
|
100% |
1567
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2231
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2487
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2452
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
6090
7.22 IPS |
|
|
Object Detection (SP)
|
98% |
799
63.6 IPS |
|
|
Object Detection (HP)
|
98% |
819
65.2 IPS |
|
|
Object Detection (Q)
|
83% |
1675
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
3993
47.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2067
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2125
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4465
40.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5166
6.71 IPS |
|
|
Style Transfer (HP)
|
89% |
5298
6.88 IPS |
|
|
Style Transfer (Q)
|
98% |
11498
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1156
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2861
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
427
569.6 IPS |
|
|
Text Classification (HP)
|
99% |
408
544.7 IPS |
|
|
Text Classification (Q)
|
88% |
406
546.9 IPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
