SAMSUNG ELECTRONICS CO., LTD. 750XDA
Geekbench ML Score
2156
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 23 2025 04:00 PM |
| Views | 2 |
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% |
1023
191.5 IPS |
|
|
Image Classification (F16)
|
100% |
1181
221.0 IPS |
|
|
Image Classification (I8)
|
99% |
2164
405.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
822
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
841
14.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1699
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3070
3.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
3036
3.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
9368
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
1097
81.9 IPS |
|
|
Object Detection (F16)
|
100% |
1090
81.4 IPS |
|
|
Object Detection (I8)
|
62% |
1227
91.6 IPS |
|
|
Face Detection (F32)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (F16)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (I8)
|
89% |
3161
37.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3459
26.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3713
28.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
8494
65.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7249
9.54 IPS |
|
|
Style Transfer (F16)
|
100% |
7472
9.83 IPS |
|
|
Style Transfer (I8)
|
98% |
13665
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1525
54.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1568
56.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2599
92.8 IPS |
|
|
Text Classification (F32)
|
100% |
1138
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1107
1.59 KIPS |
|
|
Text Classification (I8)
|
98% |
923
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1354
24.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1753
32.3 IPS |
