Dell Inc. OptiPlex 9020
Geekbench ML Score
1346
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 9020 |
| Motherboard | Dell Inc. 00V62H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 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% |
903
169.1 IPS |
|
|
Image Classification (F16)
|
100% |
856
160.3 IPS |
|
|
Image Classification (I8)
|
97% |
976
182.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
642
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
645
10.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
890
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2603
3.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
2581
3.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
2885
3.49 IPS |
|
|
Object Detection (F32)
|
100% |
799
59.6 IPS |
|
|
Object Detection (F16)
|
100% |
781
58.3 IPS |
|
|
Object Detection (I8)
|
60% |
538
40.2 IPS |
|
|
Face Detection (F32)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (I8)
|
87% |
1655
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2752
21.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2706
21.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
3222
25.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5870
7.72 IPS |
|
|
Style Transfer (F16)
|
100% |
5960
7.84 IPS |
|
|
Style Transfer (I8)
|
85% |
5582
7.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1204
43.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1211
43.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1205
43.0 IPS |
|
|
Text Classification (F32)
|
100% |
880
1.27 KIPS |
|
|
Text Classification (F16)
|
100% |
879
1.26 KIPS |
|
|
Text Classification (I8)
|
94% |
297
426.9 IPS |
|
|
Machine Translation (F32)
|
100% |
963
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
943
17.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1117
20.6 IPS |
