ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1704VA_F1704VA
Geekbench AI Score
1364
Single Precision Score
714
Half Precision Score
2949
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 04:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1704VA_F1704VA |
| Motherboard | ASUSTeK COMPUTER INC. X1704VA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
99% |
3171
591.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
3573
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2725
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1836
2.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
8372
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
86% |
2930
235.5 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
5197
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3465
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1065
8.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
7487
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6546
8.41 IPS |
|
|
Style Transfer (HP)
|
100% |
4395
5.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4113
5.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
190
254.2 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.6 IPS |
|
|
Text Classification (Q)
|
97% |
1159
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
65% |
1529
30.7 IPS |
