ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K5504VN_K5504VN
Geekbench AI Score
2131
Single Precision Score
2066
Half Precision Score
5654
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 08:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13500H |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K5504VN_K5504VN |
| Motherboard | ASUSTeK COMPUTER INC. K5504VN |
| Power Plan | Ultimate Performance HET PC |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1129
209.9 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.2 IPS |
|
|
Image Classification (Q)
|
100% |
3871
719.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3776
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2498
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
7881
9.23 IPS |
|
|
Object Detection (SP)
|
100% |
1097
87.0 IPS |
|
|
Object Detection (HP)
|
100% |
1046
82.9 IPS |
|
|
Object Detection (Q)
|
88% |
3490
279.8 IPS |
|
|
Face Detection (SP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
8469
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3221
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2890
22.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9544
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7338
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
6252
8.04 IPS |
|
|
Style Transfer (Q)
|
98% |
28444
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6073
224.9 IPS |
|
|
Text Classification (SP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3511
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1696
29.2 IPS |
