HONOR PTP-N49
Geekbench AI Score
1123
Single Precision Score
1149
Half Precision Score
1760
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 04:54 AM |
| Views | 1 |
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% |
789
146.6 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
100% |
1322
245.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
904
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1810
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2340
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
5260
6.24 IPS |
|
|
Object Detection (SP)
|
98% |
674
53.6 IPS |
|
|
Object Detection (HP)
|
98% |
686
54.6 IPS |
|
|
Object Detection (Q)
|
83% |
1275
103.0 IPS |
|
|
Face Detection (SP)
|
100% |
2049
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (Q)
|
95% |
2860
34.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1903
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1912
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3444
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4953
6.43 IPS |
|
|
Style Transfer (HP)
|
89% |
4955
6.43 IPS |
|
|
Style Transfer (Q)
|
98% |
9328
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2273
84.2 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.4 IPS |
|
|
Text Classification (HP)
|
99% |
271
361.9 IPS |
|
|
Text Classification (Q)
|
88% |
295
397.7 IPS |
|
|
Machine Translation (SP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
50% |
290
10.3 IPS |
