ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6502VU_K6502VU
Geekbench AI Score
1954
Single Precision Score
740
Half Precision Score
3119
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | berrob14 |
| Upload Date | February 12 2025 04:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
256
47.7 IPS |
|
|
Image Classification (Q)
|
99% |
2569
479.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1426
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3341
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2483
2.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
10516
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.7 IPS |
|
|
Object Detection (Q)
|
86% |
2908
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
3893
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
827
9.83 IPS |
|
|
Face Detection (Q)
|
97% |
4193
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4302
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1049
8.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
7232
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8310
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
5662
7.28 IPS |
|
|
Style Transfer (Q)
|
98% |
13026
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1897
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.2 IPS |
|
|
Text Classification (HP)
|
100% |
323
430.7 IPS |
|
|
Text Classification (Q)
|
97% |
719
963.8 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (Q)
|
65% |
1444
29.0 IPS |
