ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HC_FX506HC
Geekbench AI Score
2156
Single Precision Score
1150
Half Precision Score
3067
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 09:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HC_FX506HC |
| Motherboard | ASUSTeK COMPUTER INC. FX506HC |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (Q)
|
99% |
2760
514.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
941
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1889
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4069
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3515
4.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
16157
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (Q)
|
88% |
1604
128.6 IPS |
|
|
Face Detection (SP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
3250
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4442
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1630
12.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5675
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9851
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8745
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14008
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3198
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
645
861.1 IPS |
|
|
Text Classification (Q)
|
97% |
469
627.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
60% |
1408
31.4 IPS |
