Honor Magic8 Pro
Geekbench AI Score
1344
Single Precision Score
1767
Half Precision Score
2398
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 03:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite Gen 5 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Honor Magic8 Pro |
| Model ID | HONOR BKQ-N49 |
| Motherboard | BKQ |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm SM8850 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
995
185.0 IPS |
|
|
Image Classification (Q)
|
99% |
1680
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2059
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3033
3.54 IPS |
|
|
Pose Estimation (HP)
|
92% |
5093
5.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
6125
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (HP)
|
97% |
986
78.5 IPS |
|
|
Object Detection (Q)
|
85% |
1907
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
4253
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2207
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3639
28.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4342
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4447
5.77 IPS |
|
|
Style Transfer (HP)
|
88% |
6154
7.99 IPS |
|
|
Style Transfer (Q)
|
98% |
12513
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1967
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2930
108.6 IPS |
|
|
Text Classification (SP)
|
100% |
510
681.1 IPS |
|
|
Text Classification (HP)
|
100% |
481
642.1 IPS |
|
|
Text Classification (Q)
|
93% |
500
671.3 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
96% |
691
12.0 IPS |
|
|
Machine Translation (Q)
|
55% |
461
12.4 IPS |
