Qualcomm IOT
Geekbench AI Score
488
Single Precision Score
649
Half Precision Score
1417
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | UNISOM-S01 |
| Upload Date | February 26 2026 06:57 AM |
| Views | 8 |
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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
99% |
853
159.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1321
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
2920
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
99% |
444
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
980
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
593
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
1718
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1969
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
738
5.69 IPS |
|
|
Depth Estimation (HP)
|
98% |
961
7.43 IPS |
|
|
Depth Estimation (Q)
|
79% |
2362
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2614
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2254
2.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6747
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1143
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.5 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.8 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.9 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (HP)
|
99% |
548
9.47 IPS |
|
|
Machine Translation (Q)
|
65% |
686
13.8 IPS |
