Dell Inc. Inspiron 3505
Geekbench ML Score
784
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:37 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
508
95.1 IPS |
|
|
Image Classification (F16)
|
100% |
517
96.7 IPS |
|
|
Image Classification (I8)
|
97% |
532
99.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
290
4.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
300
5.01 IPS |
|
|
Image Segmentation (I8)
|
97% |
480
8.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
1154
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
1210
1.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
1235
1.49 IPS |
|
|
Object Detection (F32)
|
100% |
498
37.2 IPS |
|
|
Object Detection (F16)
|
100% |
453
33.9 IPS |
|
|
Object Detection (I8)
|
60% |
408
30.5 IPS |
|
|
Face Detection (F32)
|
100% |
970
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
923
11.0 IPS |
|
|
Face Detection (I8)
|
87% |
1134
13.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1513
11.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1517
11.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
1544
12.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3000
3.95 IPS |
|
|
Style Transfer (F16)
|
100% |
3141
4.13 IPS |
|
|
Style Transfer (I8)
|
85% |
2879
3.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
691
24.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
688
24.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
655
23.4 IPS |
|
|
Text Classification (F32)
|
100% |
572
821.5 IPS |
|
|
Text Classification (F16)
|
100% |
599
861.1 IPS |
|
|
Text Classification (I8)
|
94% |
170
243.9 IPS |
|
|
Machine Translation (F32)
|
100% |
765
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
754
13.9 IPS |
|
|
Machine Translation (I8)
|
67% |
741
13.6 IPS |
