ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench ML Score
2229
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 16 2024 05:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA |
| Motherboard | ASUSTeK COMPUTER INC. S5507QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
590
110.3 IPS |
|
|
Image Classification (F16)
|
100% |
584
109.3 IPS |
|
|
Image Classification (I8)
|
99% |
3368
630.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
659
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
638
10.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1900
31.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3533
4.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
3478
4.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
15731
19.0 IPS |
|
|
Object Detection (F32)
|
100% |
732
54.6 IPS |
|
|
Object Detection (F16)
|
100% |
711
53.1 IPS |
|
|
Object Detection (I8)
|
65% |
2821
210.6 IPS |
|
|
Face Detection (F32)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (F16)
|
100% |
1569
18.7 IPS |
|
|
Face Detection (I8)
|
89% |
5178
61.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1875
14.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1867
14.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
11672
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7985
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
7557
9.94 IPS |
|
|
Style Transfer (I8)
|
98% |
25072
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1609
57.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1801
64.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3382
120.8 IPS |
|
|
Text Classification (F32)
|
100% |
1435
2.06 KIPS |
|
|
Text Classification (F16)
|
100% |
1360
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1037
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
1639
30.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1679
30.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2769
51.0 IPS |
