Qualcomm IOT
Geekbench AI Score
468
Single Precision Score
613
Half Precision Score
1303
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | UNISOM-S01 |
| Upload Date | February 26 2026 03:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Qualcomm(R) QCS6490 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Qualcomm IOT |
| Motherboard | |
| 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% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (Q)
|
99% |
707
131.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1306
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
934
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
2967
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (HP)
|
99% |
440
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
788
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (HP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1849
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
729
5.62 IPS |
|
|
Depth Estimation (HP)
|
98% |
941
7.27 IPS |
|
|
Depth Estimation (Q)
|
79% |
2253
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2473
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
2217
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
6527
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1102
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.1 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.5 IPS |
|
|
Text Classification (Q)
|
97% |
349
468.2 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
99% |
503
8.69 IPS |
|
|
Machine Translation (Q)
|
65% |
626
12.6 IPS |
