Honor Magic7 Pro
Geekbench AI Score
2689
Single Precision Score
3974
Half Precision Score
5274
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Aymangh87 |
| Upload Date | March 18 2026 06:46 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Honor Magic7 Pro |
| 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% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.5 IPS |
|
|
Image Classification (Q)
|
99% |
4482
835.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5427
88.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5135
5.99 IPS |
|
|
Pose Estimation (HP)
|
92% |
10725
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12987
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1636
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
2226
177.2 IPS |
|
|
Object Detection (Q)
|
85% |
4088
329.4 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
6566
78.0 IPS |
|
|
Face Detection (Q)
|
97% |
9740
116.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4392
33.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7734
59.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10071
92.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10730
13.9 IPS |
|
|
Style Transfer (HP)
|
88% |
12755
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23918
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2319
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4501
167.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6659
246.7 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1455
25.2 IPS |
|
|
Machine Translation (Q)
|
55% |
776
20.8 IPS |
