ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1974
Single Precision Score
3201
Half Precision Score
6408
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | 19jet54 |
| Upload Date | February 06 2025 11:36 PM |
| 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 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
3149
585.6 IPS |
|
|
Image Classification (Q)
|
99% |
6689
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2324
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6414
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
8907
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
21459
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (HP)
|
99% |
1986
158.0 IPS |
|
|
Object Detection (Q)
|
86% |
6525
524.4 IPS |
|
|
Face Detection (SP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
6708
79.7 IPS |
|
|
Face Detection (Q)
|
97% |
11074
132.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2386
18.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3382
26.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
11478
91.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16130
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11575
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33371
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.0 IPS |
|
|
Text Classification (Q)
|
97% |
1242
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2227
38.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2572
44.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2740
55.0 IPS |
