Qualcomm IOT
Geekbench AI Score
447
Single Precision Score
595
Half Precision Score
1313
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | vincent_wjw |
| Upload Date | September 17 2025 05:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Qualcomm(R) QCS6490 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | Qualcomm IOT |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Qualcomm(R) QCS6490 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model D05 Revision 200 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.8 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (Q)
|
99% |
776
144.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1273
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
662
0.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
2835
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
409
32.6 IPS |
|
|
Object Detection (Q)
|
86% |
903
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
562
6.67 IPS |
|
|
Face Detection (HP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1824
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
710
5.47 IPS |
|
|
Depth Estimation (HP)
|
98% |
889
6.87 IPS |
|
|
Depth Estimation (Q)
|
79% |
2277
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2061
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1930
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
5431
7.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.1 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.1 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.0 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
99% |
404
6.97 IPS |
|
|
Machine Translation (Q)
|
65% |
632
12.7 IPS |
