SAMSUNG ELECTRONICS CO., LTD. 750XDA
Geekbench ML Score
1944
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 09:14 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
962
180.0 IPS |
|
|
Image Classification (F16)
|
100% |
953
178.3 IPS |
|
|
Image Classification (I8)
|
100% |
768
143.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1351
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1385
23.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1041
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8975
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
8826
10.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
4781
5.79 IPS |
|
|
Object Detection (F32)
|
100% |
1044
77.9 IPS |
|
|
Object Detection (F16)
|
100% |
1042
77.8 IPS |
|
|
Object Detection (I8)
|
54% |
835
62.4 IPS |
|
|
Face Detection (F32)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (F16)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (I8)
|
89% |
1441
17.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4830
37.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4901
38.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3493
27.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20088
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
20041
26.4 IPS |
|
|
Style Transfer (I8)
|
98% |
12735
16.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3039
108.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3102
110.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1326
47.3 IPS |
|
|
Text Classification (F32)
|
100% |
554
795.9 IPS |
|
|
Text Classification (F16)
|
100% |
548
787.2 IPS |
|
|
Text Classification (I8)
|
98% |
331
476.2 IPS |
|
|
Machine Translation (F32)
|
100% |
811
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
814
15.0 IPS |
|
|
Machine Translation (I8)
|
70% |
423
7.79 IPS |
