HONOR PTP-N49
Geekbench AI Score
2745
Single Precision Score
2755
Half Precision Score
4969
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm SM8750 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (Q)
|
100% |
4371
812.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5259
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5113
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5038
5.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
12461
14.8 IPS |
|
|
Object Detection (SP)
|
98% |
1636
130.2 IPS |
|
|
Object Detection (HP)
|
98% |
1655
131.7 IPS |
|
|
Object Detection (Q)
|
83% |
3818
308.4 IPS |
|
|
Face Detection (SP)
|
100% |
4207
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (Q)
|
95% |
8516
101.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4507
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4364
33.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10368
95.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11099
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11227
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25028
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2280
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2280
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6363
235.8 IPS |
|
|
Text Classification (SP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1042
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1373
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
573
20.3 IPS |
