SAMSUNG ELECTRONICS CO., LTD. 940XFG
Geekbench ML Score
1861
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 04:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XFG |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XFG-KC3IT |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1340P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
839
157.0 IPS |
|
|
Image Classification (F16)
|
100% |
873
163.4 IPS |
|
|
Image Classification (I8)
|
100% |
726
135.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1320
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1444
24.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1033
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7319
8.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
7445
9.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
4517
5.47 IPS |
|
|
Object Detection (F32)
|
100% |
1010
75.4 IPS |
|
|
Object Detection (F16)
|
100% |
958
71.5 IPS |
|
|
Object Detection (I8)
|
54% |
837
62.5 IPS |
|
|
Face Detection (F32)
|
100% |
1774
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (I8)
|
89% |
1357
16.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4480
34.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4520
35.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3424
26.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17949
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
18081
23.8 IPS |
|
|
Style Transfer (I8)
|
98% |
12515
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2928
104.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2843
101.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1330
47.5 IPS |
|
|
Text Classification (F32)
|
100% |
587
843.5 IPS |
|
|
Text Classification (F16)
|
100% |
593
852.7 IPS |
|
|
Text Classification (I8)
|
98% |
377
541.4 IPS |
|
|
Machine Translation (F32)
|
100% |
821
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
812
14.9 IPS |
|
|
Machine Translation (I8)
|
70% |
441
8.12 IPS |
