Dell Inc. Inspiron 3501
Geekbench ML Score
1905
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | July 26 2024 09:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Dell Inc. Inspiron 3501 |
| Motherboard | Dell Inc. 0RYXFP |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
993
185.7 IPS |
|
|
Image Classification (F16)
|
100% |
991
185.5 IPS |
|
|
Image Classification (I8)
|
100% |
791
147.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1422
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1418
23.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1022
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7822
9.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
7755
9.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
4478
5.42 IPS |
|
|
Object Detection (F32)
|
100% |
1077
80.4 IPS |
|
|
Object Detection (F16)
|
100% |
1107
82.6 IPS |
|
|
Object Detection (I8)
|
54% |
909
67.9 IPS |
|
|
Face Detection (F32)
|
100% |
1692
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (I8)
|
89% |
1139
13.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4814
37.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4832
37.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
3347
26.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18057
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
18403
24.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11513
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2808
100.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2774
99.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1249
44.6 IPS |
|
|
Text Classification (F32)
|
100% |
668
960.3 IPS |
|
|
Text Classification (F16)
|
100% |
675
969.6 IPS |
|
|
Text Classification (I8)
|
98% |
424
608.9 IPS |
|
|
Machine Translation (F32)
|
100% |
789
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
766
14.1 IPS |
|
|
Machine Translation (I8)
|
70% |
482
8.87 IPS |
