Dell Inc. Inspiron 3505
Geekbench ML Score
1372
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Inspiron 3505 |
| Motherboard | Dell Inc. 05HPX6 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3450U with Radeon Vega Mobile Gfx |
| 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% |
721
134.9 IPS |
|
|
Image Classification (F16)
|
100% |
711
133.1 IPS |
|
|
Image Classification (I8)
|
99% |
596
111.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
660
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
662
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
582
9.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
6542
7.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
6515
7.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
5770
6.99 IPS |
|
|
Object Detection (F32)
|
100% |
626
46.8 IPS |
|
|
Object Detection (F16)
|
100% |
622
46.4 IPS |
|
|
Object Detection (I8)
|
67% |
551
41.1 IPS |
|
|
Face Detection (F32)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (F16)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (I8)
|
89% |
1324
15.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3866
30.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3894
30.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
3167
24.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9015
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8919
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7572
9.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1162
41.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1148
41.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
942
33.6 IPS |
|
|
Text Classification (F32)
|
100% |
494
710.5 IPS |
|
|
Text Classification (F16)
|
100% |
528
758.6 IPS |
|
|
Text Classification (I8)
|
98% |
336
483.6 IPS |
|
|
Machine Translation (F32)
|
100% |
805
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
798
14.7 IPS |
|
|
Machine Translation (I8)
|
69% |
433
7.96 IPS |
