HONOR VER-N49
Geekbench AI Score
789
Single Precision Score
1063
Half Precision Score
1081
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 11:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR VER-N49 |
| Model ID | HONOR VER-N49 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.2 IPS |
|
|
Image Classification (Q)
|
96% |
841
157.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1255
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
894
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1346
1.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
1339
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
87% |
764
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
2804
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1352
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2645
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2147
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3480
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
8019
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7913
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.0 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.1 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.7 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.47 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.57 IPS |
