Acer Aspire A515-43
Geekbench ML Score
1461
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | 222ruuiii |
| Upload Date | May 09 2024 12:10 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Acer Aspire A515-43 |
| Motherboard | PK Grumpy_PK |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 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% |
805
150.7 IPS |
|
|
Image Classification (F16)
|
100% |
813
152.1 IPS |
|
|
Image Classification (I8)
|
99% |
665
124.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
693
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
689
11.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
597
9.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
7092
8.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
7052
8.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
5717
6.92 IPS |
|
|
Object Detection (F32)
|
100% |
676
50.5 IPS |
|
|
Object Detection (F16)
|
100% |
685
51.2 IPS |
|
|
Object Detection (I8)
|
67% |
597
44.6 IPS |
|
|
Face Detection (F32)
|
100% |
1910
22.7 IPS |
|
|
Face Detection (F16)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (I8)
|
89% |
1479
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4345
33.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4334
33.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
3357
26.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9372
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
9506
12.5 IPS |
|
|
Style Transfer (I8)
|
98% |
7973
10.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1175
42.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1156
41.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
991
35.4 IPS |
|
|
Text Classification (F32)
|
100% |
496
713.1 IPS |
|
|
Text Classification (F16)
|
100% |
500
719.0 IPS |
|
|
Text Classification (I8)
|
98% |
323
463.9 IPS |
|
|
Machine Translation (F32)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
864
15.9 IPS |
|
|
Machine Translation (I8)
|
69% |
456
8.39 IPS |
