Honor Magic7 Pro
Geekbench AI Score
1973
Single Precision Score
2550
Half Precision Score
2952
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Aymangh87 |
| Upload Date | March 18 2026 10:15 AM |
| Views | 9 |
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% |
1634
303.8 IPS |
|
|
Image Classification (HP)
|
100% |
904
168.0 IPS |
|
|
Image Classification (Q)
|
99% |
647
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2199
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (HP)
|
92% |
4699
5.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
6076
7.12 IPS |
|
|
Object Detection (SP)
|
98% |
1275
101.5 IPS |
|
|
Object Detection (HP)
|
97% |
1918
152.7 IPS |
|
|
Object Detection (Q)
|
85% |
2460
198.1 IPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
5102
60.6 IPS |
|
|
Face Detection (Q)
|
97% |
3887
46.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1936
15.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3288
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4505
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10866
14.1 IPS |
|
|
Style Transfer (HP)
|
88% |
9268
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23900
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4541
168.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6796
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1105
1.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1057
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1367
23.6 IPS |
|
|
Machine Translation (Q)
|
55% |
787
21.1 IPS |
