ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LHB_FX506LHB
Geekbench AI Score
1115
Single Precision Score
570
Half Precision Score
1561
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 01:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LHB_FX506LHB |
| Motherboard | ASUSTeK COMPUTER INC. FX506LHB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
721
134.1 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
96% |
1325
247.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
1236
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1335
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1294
1.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
2836
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
58% |
896
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
1838
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (Q)
|
96% |
1971
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2220
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
831
6.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
2872
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4249
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3144
4.04 IPS |
|
|
Style Transfer (Q)
|
87% |
5845
7.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1157
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.2 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.0 IPS |
|
|
Text Classification (Q)
|
97% |
499
668.3 IPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (Q)
|
68% |
1086
21.0 IPS |
