ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LH_FX566LH
Geekbench AI Score
765
Single Precision Score
452
Half Precision Score
1210
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NabHirwani |
| Upload Date | March 25 2026 07:51 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 FX506LH_FX566LH |
| Motherboard | ASUSTeK COMPUTER INC. FX506LH |
| Power Plan | Power saver |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (Q)
|
96% |
669
124.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1193
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1107
1.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
2446
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (Q)
|
58% |
648
70.8 IPS |
|
|
Face Detection (SP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
407
4.84 IPS |
|
|
Face Detection (Q)
|
96% |
1864
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1434
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
78% |
2140
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2845
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
2507
3.22 IPS |
|
|
Style Transfer (Q)
|
87% |
4165
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1051
38.9 IPS |
|
|
Text Classification (SP)
|
100% |
552
736.3 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.5 IPS |
|
|
Text Classification (Q)
|
97% |
476
637.1 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
68% |
640
12.4 IPS |
