HONOR VER-N49
Geekbench AI Score
1859
Single Precision Score
1865
Half Precision Score
2966
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 11:34 AM |
| Views | 2 |
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% |
1471
273.6 IPS |
|
|
Image Classification (HP)
|
100% |
1505
279.9 IPS |
|
|
Image Classification (Q)
|
100% |
2397
445.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2553
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2710
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2630
3.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
6297
7.47 IPS |
|
|
Object Detection (SP)
|
98% |
1416
112.7 IPS |
|
|
Object Detection (HP)
|
98% |
1402
111.6 IPS |
|
|
Object Detection (Q)
|
83% |
2060
166.4 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (Q)
|
95% |
4839
57.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2546
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2559
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4586
42.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6495
8.43 IPS |
|
|
Style Transfer (HP)
|
89% |
6470
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
13244
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1371
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3412
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.7 IPS |
|
|
Text Classification (HP)
|
99% |
699
932.6 IPS |
|
|
Text Classification (Q)
|
88% |
1093
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.5 IPS |
