ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6502VU_K6502VU
Geekbench AI Score
8956
Single Precision Score
14504
Half Precision Score
7558
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | berrob14 |
| Upload Date | February 12 2025 04:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6502VU_K6502VU |
| Motherboard | ASUSTeK COMPUTER INC. K6502VU |
| Power Plan | Energiesparmodus |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3587
667.1 IPS |
|
|
Image Classification (HP)
|
99% |
4947
922.7 IPS |
|
|
Image Classification (Q)
|
99% |
3425
638.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6787
110.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8235
133.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6198
100.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
42363
49.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
137006
159.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
38150
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
4741
376.1 IPS |
|
|
Object Detection (HP)
|
100% |
7087
562.1 IPS |
|
|
Object Detection (Q)
|
84% |
4477
361.1 IPS |
|
|
Face Detection (SP)
|
100% |
11635
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
18929
224.9 IPS |
|
|
Face Detection (Q)
|
97% |
10246
122.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24668
190.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47582
366.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
19836
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
77488
99.6 IPS |
|
|
Style Transfer (HP)
|
100% |
185932
239.0 IPS |
|
|
Style Transfer (Q)
|
98% |
70781
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14382
531.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22871
844.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10919
404.3 IPS |
|
|
Text Classification (SP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (HP)
|
99% |
1369
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
924
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1157
21.7 IPS |
