ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HF_FX506HF
Geekbench AI Score
7232
Single Precision Score
13693
Half Precision Score
5121
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | The-Idle-Crow |
| Upload Date | February 03 2025 01:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HF_FX506HF |
| Motherboard | ASUSTeK COMPUTER INC. FX506HF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3228
600.3 IPS |
|
|
Image Classification (HP)
|
99% |
5957
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
2660
496.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4342
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7168
116.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3561
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28819
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
90450
105.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23534
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3649
289.5 IPS |
|
|
Object Detection (HP)
|
100% |
7398
586.8 IPS |
|
|
Object Detection (Q)
|
84% |
2988
241.0 IPS |
|
|
Face Detection (SP)
|
100% |
7063
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
12837
152.5 IPS |
|
|
Face Detection (Q)
|
97% |
5820
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16588
127.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36234
279.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12141
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56147
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
150437
193.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42691
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9329
344.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18943
699.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6114
226.4 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2502
3.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1020
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2447
42.1 IPS |
|
|
Machine Translation (Q)
|
70% |
991
18.6 IPS |
