Dell Inc. Inspiron 7373
Geekbench ML Score
1014
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 05:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 7373 |
| Motherboard | Dell Inc. 0XJTJ8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.99 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
290
54.2 IPS |
|
|
Image Classification (F16)
|
100% |
453
84.7 IPS |
|
|
Image Classification (I8)
|
97% |
1012
189.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
532
8.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
422
7.05 IPS |
|
|
Image Segmentation (I8)
|
97% |
586
9.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
1027
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1016
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
2559
3.10 IPS |
|
|
Object Detection (F32)
|
100% |
400
29.8 IPS |
|
|
Object Detection (F16)
|
100% |
462
34.5 IPS |
|
|
Object Detection (I8)
|
60% |
657
49.1 IPS |
|
|
Face Detection (F32)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (I8)
|
87% |
1567
18.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1828
14.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1307
10.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
3341
25.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4474
5.89 IPS |
|
|
Style Transfer (F16)
|
100% |
3963
5.21 IPS |
|
|
Style Transfer (I8)
|
85% |
6114
8.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
720
25.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
992
35.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1683
60.1 IPS |
|
|
Text Classification (F32)
|
100% |
891
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
810
1.16 KIPS |
|
|
Text Classification (I8)
|
94% |
245
352.7 IPS |
|
|
Machine Translation (F32)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
903
16.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1021
18.8 IPS |
