SAMSUNG ELECTRONICS CO., LTD. 550XDA
Geekbench ML Score
1428
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 12:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Insider Preview Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 550XDA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP550XDA-KF2BR |
| 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
709
132.6 IPS |
|
|
Image Classification (F16)
|
100% |
737
137.8 IPS |
|
|
Image Classification (I8)
|
99% |
1681
314.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
523
8.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
510
8.52 IPS |
|
|
Image Segmentation (I8)
|
98% |
1421
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1807
2.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
1606
1.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
7253
8.78 IPS |
|
|
Object Detection (F32)
|
100% |
660
49.3 IPS |
|
|
Object Detection (F16)
|
100% |
669
50.0 IPS |
|
|
Object Detection (I8)
|
62% |
920
68.7 IPS |
|
|
Face Detection (F32)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (F16)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (I8)
|
89% |
1982
23.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2140
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2127
16.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
6435
49.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4264
5.61 IPS |
|
|
Style Transfer (F16)
|
100% |
4236
5.57 IPS |
|
|
Style Transfer (I8)
|
98% |
7933
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
933
33.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
920
32.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2101
75.0 IPS |
|
|
Text Classification (F32)
|
100% |
938
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
952
1.37 KIPS |
|
|
Text Classification (I8)
|
98% |
866
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
844
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
876
16.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1364
25.1 IPS |
