ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1825
Single Precision Score
16026
Half Precision Score
35278
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 06 2025 12:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA |
| Motherboard | ASUSTeK COMPUTER INC. X1607QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
622
115.6 IPS |
|
|
Image Classification (HP)
|
100% |
10763
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
16733
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8122
131.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17174
279.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4326
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
70525
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
240976
282.5 IPS |
|
|
Object Detection (SP)
|
100% |
782
62.1 IPS |
|
|
Object Detection (HP)
|
100% |
10976
870.6 IPS |
|
|
Object Detection (Q)
|
92% |
19417
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
24208
287.6 IPS |
|
|
Face Detection (Q)
|
97% |
55223
658.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2170
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42617
328.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
107930
861.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10460
13.4 IPS |
|
|
Style Transfer (HP)
|
98% |
57526
74.2 IPS |
|
|
Style Transfer (Q)
|
98% |
259577
334.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29840
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65373
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (Q)
|
95% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (Q)
|
67% |
6061
118.0 IPS |
