Honor Magic7 Pro
Geekbench AI Score
2765
Single Precision Score
4084
Half Precision Score
5425
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 07:20 PM |
| Views | 6 |
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% |
1832
340.7 IPS |
|
|
Image Classification (HP)
|
100% |
2621
487.5 IPS |
|
|
Image Classification (Q)
|
99% |
4690
874.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3303
53.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5677
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5292
6.17 IPS |
|
|
Pose Estimation (HP)
|
92% |
10661
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12961
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1622
129.1 IPS |
|
|
Object Detection (HP)
|
97% |
2161
172.1 IPS |
|
|
Object Detection (Q)
|
85% |
4062
327.2 IPS |
|
|
Face Detection (SP)
|
100% |
4361
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7057
83.9 IPS |
|
|
Face Detection (Q)
|
97% |
9775
116.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4492
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7922
61.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10246
94.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11137
14.5 IPS |
|
|
Style Transfer (HP)
|
88% |
13134
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24790
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2421
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4784
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6924
256.6 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (Q)
|
93% |
1117
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1509
26.1 IPS |
|
|
Machine Translation (Q)
|
55% |
821
22.0 IPS |
