ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506ICB_FA506ICB
Geekbench AI Score
8171
Single Precision Score
13905
Half Precision Score
5772
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 07:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506ICB_FA506ICB |
| Motherboard | ASUSTeK COMPUTER INC. FA506ICB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3488
648.6 IPS |
|
|
Image Classification (HP)
|
99% |
5972
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
2706
503.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4816
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6938
112.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4162
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37218
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107245
125.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
32096
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
3906
309.8 IPS |
|
|
Object Detection (HP)
|
100% |
6569
521.0 IPS |
|
|
Object Detection (Q)
|
89% |
2952
236.3 IPS |
|
|
Face Detection (SP)
|
100% |
8209
97.5 IPS |
|
|
Face Detection (HP)
|
100% |
12463
148.1 IPS |
|
|
Face Detection (Q)
|
97% |
6533
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19763
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40737
313.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
14459
116.3 IPS |
|
|
Style Transfer (SP)
|
100% |
64109
82.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164757
211.8 IPS |
|
|
Style Transfer (Q)
|
98% |
52420
67.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12403
458.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20906
771.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8041
297.7 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
99% |
2682
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1130
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (Q)
|
60% |
855
19.1 IPS |
