SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench ML Score
2341
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Atheris |
| Upload Date | September 03 2024 05:46 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XGK-LG3IN |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1115
208.6 IPS |
|
|
Image Classification (F16)
|
100% |
1067
199.6 IPS |
|
|
Image Classification (I8)
|
99% |
2046
382.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
948
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1125
18.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1856
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4727
5.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
4702
5.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
15242
18.5 IPS |
|
|
Object Detection (F32)
|
100% |
1210
90.4 IPS |
|
|
Object Detection (F16)
|
100% |
1261
94.2 IPS |
|
|
Object Detection (I8)
|
62% |
1078
80.5 IPS |
|
|
Face Detection (F32)
|
100% |
2571
30.6 IPS |
|
|
Face Detection (F16)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (I8)
|
89% |
2973
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4860
37.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4364
33.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
8405
65.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9427
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
9369
12.3 IPS |
|
|
Style Transfer (I8)
|
98% |
16587
21.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2024
72.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1994
71.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3428
122.4 IPS |
|
|
Text Classification (F32)
|
100% |
842
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
845
1.21 KIPS |
|
|
Text Classification (I8)
|
98% |
336
482.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1216
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1188
21.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1780
32.8 IPS |
