ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench ML Score
2825
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 11:20 AM |
| Views | 2 |
System Information
| 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 | Equilibrado |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
673
125.9 IPS |
|
|
Image Classification (F16)
|
100% |
673
125.9 IPS |
|
|
Image Classification (I8)
|
99% |
3790
709.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
768
12.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2266
37.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6080
7.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
6075
7.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
24118
29.2 IPS |
|
|
Object Detection (F32)
|
100% |
872
65.1 IPS |
|
|
Object Detection (F16)
|
100% |
888
66.3 IPS |
|
|
Object Detection (I8)
|
65% |
3186
237.9 IPS |
|
|
Face Detection (F32)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (I8)
|
89% |
5925
70.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2492
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2526
19.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
13699
106.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15558
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14985
19.7 IPS |
|
|
Style Transfer (I8)
|
98% |
32486
42.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2353
84.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2418
86.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3853
137.6 IPS |
|
|
Text Classification (F32)
|
100% |
1190
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1393
2.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1114
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2006
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1973
36.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3357
61.8 IPS |
