ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507UV_FA507UV
Geekbench ML Score
12142
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 01:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507UV_FA507UV |
| Motherboard | ASUSTeK COMPUTER INC. FA507UV |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6668
1.25 KIPS |
|
|
Image Classification (F16)
|
100% |
6360
1.19 KIPS |
|
|
Image Classification (I8)
|
100% |
5974
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8602
143.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8362
139.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
7432
124.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
64407
78.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
63233
76.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
58551
70.9 IPS |
|
|
Object Detection (F32)
|
100% |
4453
332.5 IPS |
|
|
Object Detection (F16)
|
100% |
4482
334.6 IPS |
|
|
Object Detection (I8)
|
61% |
3728
278.3 IPS |
|
|
Face Detection (F32)
|
100% |
15040
178.8 IPS |
|
|
Face Detection (F16)
|
100% |
16975
201.8 IPS |
|
|
Face Detection (I8)
|
89% |
15306
182.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
26667
206.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
35794
277.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
27333
212.0 IPS |
|
|
Style Transfer (F32)
|
100% |
138022
181.6 IPS |
|
|
Style Transfer (F16)
|
100% |
98852
130.0 IPS |
|
|
Style Transfer (I8)
|
98% |
91210
120.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20061
716.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21212
757.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14723
525.8 IPS |
|
|
Text Classification (F32)
|
100% |
2213
3.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2286
3.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1405
2.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
3628
66.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3597
66.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1911
35.2 IPS |
