ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506NFR_TUF506NFR
Geekbench AI Score
6784
Single Precision Score
12682
Half Precision Score
4642
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | November 18 2024 06:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506NFR_TUF506NFR |
| Motherboard | ASUSTeK COMPUTER INC. FA506NFR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2883
536.1 IPS |
|
|
Image Classification (HP)
|
99% |
4949
923.0 IPS |
|
|
Image Classification (Q)
|
100% |
2306
428.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4183
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6798
110.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3432
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28032
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90791
105.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
23196
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
3206
254.3 IPS |
|
|
Object Detection (HP)
|
100% |
6683
530.1 IPS |
|
|
Object Detection (Q)
|
89% |
2317
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
10633
126.3 IPS |
|
|
Face Detection (Q)
|
97% |
4651
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15415
118.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32778
252.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
10865
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55213
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
150883
194.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42834
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9163
338.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18486
682.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5925
219.4 IPS |
|
|
Text Classification (SP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (HP)
|
99% |
2349
3.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1044
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
60% |
816
18.2 IPS |
