SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench ML Score
3338
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 01:51 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XHA-KG1UK |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| 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% |
1620
303.2 IPS |
|
|
Image Classification (F16)
|
100% |
1746
326.8 IPS |
|
|
Image Classification (I8)
|
99% |
3215
601.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1448
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1605
26.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2600
43.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4951
6.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
4749
5.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
17451
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
1692
126.3 IPS |
|
|
Object Detection (F16)
|
100% |
1758
131.3 IPS |
|
|
Object Detection (I8)
|
62% |
1595
119.1 IPS |
|
|
Face Detection (F32)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (F16)
|
100% |
3688
43.9 IPS |
|
|
Face Detection (I8)
|
89% |
4306
51.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6032
46.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5805
45.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
12979
100.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11856
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12064
15.9 IPS |
|
|
Style Transfer (I8)
|
98% |
20596
27.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2676
95.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2672
95.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4680
167.1 IPS |
|
|
Text Classification (F32)
|
100% |
1279
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
1295
1.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1165
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1884
34.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1977
36.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2676
49.3 IPS |
