ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2145
Single Precision Score
1696
Half Precision Score
5753
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | imholyagnostic |
| Upload Date | August 23 2024 04:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (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% |
691
128.6 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
4045
754.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2302
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
8699
10.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
26066
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (HP)
|
99% |
646
51.4 IPS |
|
|
Object Detection (Q)
|
88% |
4180
335.1 IPS |
|
|
Face Detection (SP)
|
100% |
1856
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
835
9.92 IPS |
|
|
Face Detection (Q)
|
97% |
6199
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2614
20.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2432
18.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
12533
100.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16511
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11082
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35328
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4054
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
451
602.2 IPS |
|
|
Text Classification (Q)
|
97% |
1260
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1796
31.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2793
62.3 IPS |
