ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1836
Single Precision Score
3044
Half Precision Score
6125
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pig_10 |
| Upload Date | June 22 2025 01:20 PM |
| Views | 4 |
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% |
657
122.1 IPS |
|
|
Image Classification (HP)
|
100% |
2718
505.4 IPS |
|
|
Image Classification (Q)
|
99% |
6975
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3358
54.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2290
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5817
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
8094
9.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
22332
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (HP)
|
99% |
2305
183.4 IPS |
|
|
Object Detection (Q)
|
86% |
5730
460.5 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
5494
65.3 IPS |
|
|
Face Detection (Q)
|
97% |
9492
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1997
15.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2904
22.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
9652
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10700
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10224
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31157
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
594
792.9 IPS |
|
|
Text Classification (Q)
|
97% |
1108
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
99% |
2836
49.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3286
66.0 IPS |
