Qualcomm IOT
Geekbench AI Score
458
Single Precision Score
610
Half Precision Score
1337
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | UNISOM-S01 |
| Upload Date | February 26 2026 06:36 AM |
| Views | 7 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
99% |
689
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1090
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
860
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
718
0.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
2972
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
99% |
443
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
959
77.0 IPS |
|
|
Face Detection (SP)
|
100% |
594
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
1939
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
710
5.47 IPS |
|
|
Depth Estimation (HP)
|
98% |
927
7.17 IPS |
|
|
Depth Estimation (Q)
|
79% |
2293
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2300
2.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2221
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6488
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.2 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.8 IPS |
|
|
Text Classification (Q)
|
97% |
400
536.1 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (HP)
|
99% |
426
7.36 IPS |
|
|
Machine Translation (Q)
|
65% |
640
12.9 IPS |
