ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K3605VC_K3605VC
Geekbench AI Score
7352
Single Precision Score
14061
Half Precision Score
5154
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | simplesaad |
| Upload Date | November 07 2025 08:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 4GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K3605VC_K3605VC |
| Motherboard | ASUSTeK COMPUTER INC. K3605VC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2921
543.3 IPS |
|
|
Image Classification (HP)
|
99% |
5933
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
2659
495.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7076
114.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3599
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
30015
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
93493
109.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23846
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3531
280.0 IPS |
|
|
Object Detection (HP)
|
100% |
7438
590.0 IPS |
|
|
Object Detection (Q)
|
84% |
3013
243.0 IPS |
|
|
Face Detection (SP)
|
100% |
6883
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
12751
151.5 IPS |
|
|
Face Detection (Q)
|
97% |
5561
66.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17170
132.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35806
276.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12610
101.1 IPS |
|
|
Style Transfer (SP)
|
100% |
57538
74.0 IPS |
|
|
Style Transfer (HP)
|
100% |
160070
205.8 IPS |
|
|
Style Transfer (Q)
|
98% |
44258
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10064
371.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20596
760.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6254
231.6 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
2794
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1033
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (Q)
|
70% |
960
18.0 IPS |
