ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2202
Single Precision Score
1724
Half Precision Score
5870
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | smt331 |
| Upload Date | August 15 2024 06:25 PM |
| Views | 6 |
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 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| Power Plan | Balanced |
| 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% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
99% |
4156
775.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2338
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6709
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
8056
9.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
26419
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.8 IPS |
|
|
Object Detection (HP)
|
99% |
668
53.1 IPS |
|
|
Object Detection (Q)
|
88% |
4442
356.1 IPS |
|
|
Face Detection (SP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
6381
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2669
20.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2409
18.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
13053
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16600
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11147
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35740
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2424
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4026
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.4 IPS |
|
|
Text Classification (Q)
|
97% |
1266
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1864
32.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2811
62.7 IPS |
