ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench ML Score
1911
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 08:00 PM |
| 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 | Zrwnowaony |
| 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 | DirectML |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1047
195.9 IPS |
|
|
Image Classification (F16)
|
100% |
1026
192.0 IPS |
|
|
Image Classification (I8)
|
100% |
918
171.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1283
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1244
20.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1312
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8139
9.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
7891
9.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
7373
8.93 IPS |
|
|
Object Detection (F32)
|
100% |
790
59.0 IPS |
|
|
Object Detection (F16)
|
100% |
789
58.9 IPS |
|
|
Object Detection (I8)
|
71% |
734
54.8 IPS |
|
|
Face Detection (F32)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (F16)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (I8)
|
93% |
1858
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4807
37.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4921
38.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
4220
32.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12179
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12210
16.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11079
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4546
162.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4581
163.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3254
116.2 IPS |
|
|
Text Classification (F32)
|
100% |
253
363.1 IPS |
|
|
Text Classification (F16)
|
100% |
243
349.5 IPS |
|
|
Text Classification (I8)
|
98% |
204
293.7 IPS |
|
|
Machine Translation (F32)
|
100% |
960
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
953
17.5 IPS |
|
|
Machine Translation (I8)
|
65% |
594
10.9 IPS |
