ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench ML Score
1738
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 07:56 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
476
89.0 IPS |
|
|
Image Classification (F16)
|
100% |
420
78.7 IPS |
|
|
Image Classification (I8)
|
99% |
1504
281.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
488
8.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
463
7.74 IPS |
|
|
Image Segmentation (I8)
|
98% |
1374
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4033
4.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
3977
4.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
13084
15.8 IPS |
|
|
Object Detection (F32)
|
100% |
559
41.7 IPS |
|
|
Object Detection (F16)
|
100% |
578
43.1 IPS |
|
|
Object Detection (I8)
|
65% |
2369
176.8 IPS |
|
|
Face Detection (F32)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (F16)
|
100% |
1216
14.5 IPS |
|
|
Face Detection (I8)
|
89% |
3789
45.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1588
12.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1699
13.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
9702
75.2 IPS |
|
|
Style Transfer (F32)
|
100% |
8292
10.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8186
10.8 IPS |
|
|
Style Transfer (I8)
|
98% |
18278
24.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1158
41.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1113
39.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2401
85.8 IPS |
|
|
Text Classification (F32)
|
100% |
937
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
887
1.27 KIPS |
|
|
Text Classification (I8)
|
98% |
585
840.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1309
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2175
40.0 IPS |
