Acer Nitro AN515-42
Geekbench ML Score
1528
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2024 06:50 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Acer Nitro AN515-42 |
| Motherboard | RR Freed_RRS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
737
138.0 IPS |
|
|
Image Classification (F16)
|
100% |
737
137.9 IPS |
|
|
Image Classification (I8)
|
99% |
592
110.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
591
9.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
6338
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
6658
8.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
5797
7.02 IPS |
|
|
Object Detection (F32)
|
100% |
652
48.7 IPS |
|
|
Object Detection (F16)
|
100% |
642
48.0 IPS |
|
|
Object Detection (I8)
|
67% |
579
43.3 IPS |
|
|
Face Detection (F32)
|
100% |
1881
22.4 IPS |
|
|
Face Detection (F16)
|
100% |
1842
21.9 IPS |
|
|
Face Detection (I8)
|
89% |
1432
17.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4252
33.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3949
30.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
3396
26.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10719
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10878
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
9032
11.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2259
80.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2303
82.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1784
63.7 IPS |
|
|
Text Classification (F32)
|
100% |
394
566.5 IPS |
|
|
Text Classification (F16)
|
100% |
441
634.4 IPS |
|
|
Text Classification (I8)
|
98% |
290
417.3 IPS |
|
|
Machine Translation (F32)
|
100% |
832
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
813
15.0 IPS |
|
|
Machine Translation (I8)
|
69% |
449
8.26 IPS |
