ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1504VA_X1504VA
Geekbench AI Score
957
Single Precision Score
401
Half Precision Score
1745
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1504VA_X1504VA |
| Motherboard | ASUSTeK COMPUTER INC. X1504VA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
1317
245.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
1889
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1511
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
4094
4.80 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
86% |
1371
110.2 IPS |
|
|
Face Detection (SP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (Q)
|
97% |
2285
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1996
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
571
4.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
3488
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3665
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2466
3.17 IPS |
|
|
Style Transfer (Q)
|
98% |
5794
7.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1169
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.4 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.2 IPS |
|
|
Text Classification (Q)
|
97% |
419
560.8 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.05 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
65% |
829
16.7 IPS |
