HONOR VER-N49
Geekbench AI Score
1910
Single Precision Score
1888
Half Precision Score
3003
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 10:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1465
272.4 IPS |
|
|
Image Classification (HP)
|
100% |
1430
265.9 IPS |
|
|
Image Classification (Q)
|
100% |
2530
470.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2641
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2677
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
6158
7.30 IPS |
|
|
Object Detection (SP)
|
98% |
1486
118.3 IPS |
|
|
Object Detection (HP)
|
98% |
1493
118.8 IPS |
|
|
Object Detection (Q)
|
83% |
2149
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (Q)
|
95% |
4871
58.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2645
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2713
21.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4758
43.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6588
8.55 IPS |
|
|
Style Transfer (HP)
|
89% |
6443
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
12879
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3297
122.2 IPS |
|
|
Text Classification (SP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
708
945.5 IPS |
|
|
Text Classification (Q)
|
88% |
1120
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
614
21.8 IPS |
