Dell Inc. OptiPlex 3050
Geekbench ML Score
1321
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 31 2025 11:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3050 |
| Motherboard | Dell Inc. 08NPPY |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 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% |
718
134.4 IPS |
|
|
Image Classification (F16)
|
100% |
707
132.3 IPS |
|
|
Image Classification (I8)
|
97% |
1095
204.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
519
8.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
504
8.41 IPS |
|
|
Image Segmentation (I8)
|
97% |
1188
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2120
2.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
2228
2.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
4468
5.41 IPS |
|
|
Object Detection (F32)
|
100% |
657
49.0 IPS |
|
|
Object Detection (F16)
|
100% |
661
49.4 IPS |
|
|
Object Detection (I8)
|
60% |
750
56.0 IPS |
|
|
Face Detection (F32)
|
100% |
812
9.66 IPS |
|
|
Face Detection (F16)
|
100% |
790
9.39 IPS |
|
|
Face Detection (I8)
|
87% |
1623
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2438
18.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2218
17.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
4180
32.4 IPS |
|
|
Style Transfer (F32)
|
100% |
5372
7.07 IPS |
|
|
Style Transfer (F16)
|
100% |
5410
7.12 IPS |
|
|
Style Transfer (I8)
|
85% |
5549
7.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1094
39.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1094
39.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1644
58.7 IPS |
|
|
Text Classification (F32)
|
100% |
907
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
906
1.30 KIPS |
|
|
Text Classification (I8)
|
94% |
726
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
880
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
883
16.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1036
19.1 IPS |
