ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506NFR_TUF506NFR
Geekbench AI Score
7112
Single Precision Score
13468
Half Precision Score
4758
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | November 20 2024 12:04 AM |
| Views | 13 |
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 | Silent |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3089
574.4 IPS |
|
|
Image Classification (HP)
|
99% |
5762
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
2338
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4353
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7368
119.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3542
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28270
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92655
108.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
23370
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
3525
279.6 IPS |
|
|
Object Detection (HP)
|
100% |
7244
574.6 IPS |
|
|
Object Detection (Q)
|
89% |
2420
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
6263
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
11524
136.9 IPS |
|
|
Face Detection (Q)
|
97% |
4833
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15914
122.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34942
269.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
11130
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55721
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
156170
200.8 IPS |
|
|
Style Transfer (Q)
|
98% |
43400
56.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9540
352.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18570
685.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6015
222.7 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
99% |
2313
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1053
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (Q)
|
60% |
860
19.2 IPS |
