SAMSUNG ELECTRONICS CO., LTD. 940XFG
Geekbench ML Score
1921
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 04:50 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1196
223.8 IPS |
|
|
Image Classification (F16)
|
100% |
1098
205.4 IPS |
|
|
Image Classification (I8)
|
99% |
1756
328.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
810
13.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1509
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2995
3.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
2672
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
9138
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
927
69.2 IPS |
|
|
Object Detection (F16)
|
100% |
1111
83.0 IPS |
|
|
Object Detection (I8)
|
62% |
1092
81.6 IPS |
|
|
Face Detection (F32)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (F16)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (I8)
|
89% |
1971
23.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3158
24.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3880
30.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
7919
61.4 IPS |
|
|
Style Transfer (F32)
|
100% |
7560
9.94 IPS |
|
|
Style Transfer (F16)
|
100% |
7399
9.73 IPS |
|
|
Style Transfer (I8)
|
98% |
13794
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1717
61.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1688
60.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2722
97.2 IPS |
|
|
Text Classification (F32)
|
100% |
1075
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
983
1.41 KIPS |
|
|
Text Classification (I8)
|
98% |
329
473.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1024
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
760
14.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1312
24.2 IPS |
