ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2230
Single Precision Score
1714
Half Precision Score
5518
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 18 2024 10:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (Q)
|
99% |
4066
758.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2422
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6863
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
8784
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
25424
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
937
74.3 IPS |
|
|
Object Detection (HP)
|
99% |
658
52.3 IPS |
|
|
Object Detection (Q)
|
88% |
4317
346.0 IPS |
|
|
Face Detection (SP)
|
100% |
1908
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
6287
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2669
20.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2426
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
9271
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16951
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9691
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30035
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1228
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3970
147.0 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
456
609.1 IPS |
|
|
Text Classification (Q)
|
97% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1888
32.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2821
62.9 IPS |
