ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HF_FX506HF
Geekbench AI Score
3622
Single Precision Score
3640
Half Precision Score
9379
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | The-Idle-Crow |
| Upload Date | February 03 2025 01:40 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11400H @ 2.70GHz |
| 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% |
2189
407.0 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.5 IPS |
|
|
Image Classification (Q)
|
100% |
6195
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2650
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6148
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4474
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4478
5.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
17824
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.4 IPS |
|
|
Object Detection (HP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (Q)
|
88% |
6011
481.9 IPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
15600
185.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6021
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6045
46.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16794
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12336
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12587
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
46544
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9218
341.4 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3763
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3050
52.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3052
52.6 IPS |
