ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1969
Single Precision Score
14786
Half Precision Score
24900
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | katzecz |
| Upload Date | December 06 2024 06:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
521
96.8 IPS |
|
|
Image Classification (HP)
|
100% |
9944
1.85 KIPS |
|
|
Image Classification (Q)
|
99% |
16213
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7495
121.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9505
154.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6363
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
69804
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
234208
274.5 IPS |
|
|
Object Detection (SP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (HP)
|
100% |
10004
793.6 IPS |
|
|
Object Detection (Q)
|
92% |
11085
884.8 IPS |
|
|
Face Detection (SP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
21916
260.4 IPS |
|
|
Face Detection (Q)
|
97% |
44031
525.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2615
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38340
295.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
101024
810.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16072
20.7 IPS |
|
|
Style Transfer (HP)
|
98% |
57394
74.0 IPS |
|
|
Style Transfer (Q)
|
98% |
201049
259.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28304
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40584
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (Q)
|
95% |
3402
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (Q)
|
67% |
1855
36.1 IPS |
