ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2125
Single Precision Score
1570
Half Precision Score
5288
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 21 2024 03:11 AM |
| 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 | 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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
99% |
3984
743.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2382
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6892
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
7501
8.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
24881
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
878
69.7 IPS |
|
|
Object Detection (HP)
|
99% |
618
49.2 IPS |
|
|
Object Detection (Q)
|
88% |
3952
316.8 IPS |
|
|
Face Detection (SP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.42 IPS |
|
|
Face Detection (Q)
|
97% |
6276
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2541
19.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2190
16.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8696
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16153
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9262
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28252
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3601
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.6 IPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1621
28.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2764
61.6 IPS |
