ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LI_FX566LI
Geekbench AI Score
6730
Single Precision Score
5411
Half Precision Score
4866
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LI_FX566LI |
| Motherboard | ASUSTeK COMPUTER INC. FX506LI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10870H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2541
472.6 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.5 IPS |
|
|
Image Classification (Q)
|
99% |
2267
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4845
78.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4032
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25210
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15984
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
22346
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
3373
267.5 IPS |
|
|
Object Detection (HP)
|
100% |
2879
228.3 IPS |
|
|
Object Detection (Q)
|
83% |
2604
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
7158
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
6000
71.3 IPS |
|
|
Face Detection (Q)
|
97% |
6690
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15563
119.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11520
88.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12117
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
45987
59.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31664
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38763
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8946
330.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7676
283.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5789
214.4 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2508
43.3 IPS |
|
|
Machine Translation (Q)
|
70% |
917
17.2 IPS |
