Qualcomm IOT
Geekbench AI Score
427
Single Precision Score
583
Half Precision Score
1287
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | UNISOM-S01 |
| Upload Date | February 26 2026 06:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Qualcomm(R) QCS5430 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | Qualcomm IOT |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Qualcomm(R) QCS5430 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model D05 Revision 200 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
99% |
650
121.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1232
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
661
0.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
2836
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
99% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
86% |
910
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
545
6.48 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
1852
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
652
5.02 IPS |
|
|
Depth Estimation (HP)
|
98% |
864
6.68 IPS |
|
|
Depth Estimation (Q)
|
79% |
2208
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2131
2.74 IPS |
|
|
Style Transfer (HP)
|
100% |
2129
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6305
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1079
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.4 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.2 IPS |
|
|
Text Classification (Q)
|
97% |
361
483.4 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (HP)
|
99% |
417
7.20 IPS |
|
|
Machine Translation (Q)
|
65% |
603
12.1 IPS |
