HONOR VER-N49
Geekbench AI Score
272
Single Precision Score
15832
Half Precision Score
35841
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 11:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
12405
2.31 KIPS |
|
|
Image Classification (Q)
|
97% |
32145
6.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
7451
120.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20897
339.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
68860
80.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
292633
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
11649
924.0 IPS |
|
|
Object Detection (Q)
|
86% |
13318
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
438
5.20 IPS |
|
|
Face Detection (HP)
|
100% |
23786
282.6 IPS |
|
|
Face Detection (Q)
|
97% |
80938
965.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
44465
342.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
80803
756.6 IPS |
|
|
Style Transfer (SP)
|
100% |
658
0.85 IPS |
|
|
Style Transfer (HP)
|
98% |
59421
76.6 IPS |
|
|
Style Transfer (Q)
|
98% |
293159
378.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32297
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81529
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
221
295.3 IPS |
|
|
Text Classification (HP)
|
100% |
2527
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (HP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1518
39.8 IPS |
