SAMSUNG ELECTRONICS CO., LTD. 750XDA
Geekbench ML Score
2082
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 02:10 PM |
| Views | 6 |
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% |
1166
218.2 IPS |
|
|
Image Classification (F16)
|
100% |
1123
210.1 IPS |
|
|
Image Classification (I8)
|
99% |
2057
384.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
731
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
743
12.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1672
27.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2701
3.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
2630
3.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
8178
9.90 IPS |
|
|
Object Detection (F32)
|
100% |
1067
79.6 IPS |
|
|
Object Detection (F16)
|
100% |
1010
75.4 IPS |
|
|
Object Detection (I8)
|
62% |
1149
85.7 IPS |
|
|
Face Detection (F32)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (F16)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (I8)
|
89% |
3328
39.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3647
28.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3444
26.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
7838
60.8 IPS |
|
|
Style Transfer (F32)
|
100% |
6947
9.14 IPS |
|
|
Style Transfer (F16)
|
100% |
6823
8.98 IPS |
|
|
Style Transfer (I8)
|
98% |
13419
17.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1602
57.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1553
55.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2735
97.7 IPS |
|
|
Text Classification (F32)
|
100% |
1122
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1075
1.55 KIPS |
|
|
Text Classification (I8)
|
98% |
916
1.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1349
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1270
23.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1785
32.8 IPS |
