SAMSUNG ELECTRONICS CO., LTD. 750XDA
Geekbench ML Score
2162
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 09:11 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XDA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XDA-KDDIT |
| Power Plan | Samsung Mode |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1080
202.1 IPS |
|
|
Image Classification (F16)
|
100% |
1185
221.8 IPS |
|
|
Image Classification (I8)
|
99% |
2171
406.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1808
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3033
3.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
2857
3.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
10391
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
1001
74.7 IPS |
|
|
Object Detection (F16)
|
100% |
1105
82.5 IPS |
|
|
Object Detection (I8)
|
62% |
1235
92.2 IPS |
|
|
Face Detection (F32)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (F16)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (I8)
|
89% |
3149
37.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3738
29.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3698
28.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
8479
65.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7285
9.58 IPS |
|
|
Style Transfer (F16)
|
100% |
7247
9.53 IPS |
|
|
Style Transfer (I8)
|
98% |
13334
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1629
58.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1568
56.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2544
90.9 IPS |
|
|
Text Classification (F32)
|
100% |
1125
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1110
1.60 KIPS |
|
|
Text Classification (I8)
|
98% |
883
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
1345
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1306
24.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1872
34.5 IPS |
