SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench ML Score
3234
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 25 2025 06:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XHA-KG2US |
| 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% |
1366
255.7 IPS |
|
|
Image Classification (F16)
|
100% |
1497
280.2 IPS |
|
|
Image Classification (I8)
|
99% |
2852
533.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1569
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1573
26.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2593
43.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4844
5.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
4982
6.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
17531
21.2 IPS |
|
|
Object Detection (F32)
|
100% |
1685
125.8 IPS |
|
|
Object Detection (F16)
|
100% |
1744
130.2 IPS |
|
|
Object Detection (I8)
|
62% |
1287
96.1 IPS |
|
|
Face Detection (F32)
|
100% |
3487
41.5 IPS |
|
|
Face Detection (F16)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (I8)
|
89% |
4361
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6154
47.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6073
47.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
12642
98.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12138
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12017
15.8 IPS |
|
|
Style Transfer (I8)
|
98% |
20685
27.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2448
87.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2698
96.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3082
110.1 IPS |
|
|
Text Classification (F32)
|
100% |
1231
1.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1327
1.91 KIPS |
|
|
Text Classification (I8)
|
98% |
1170
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1966
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1962
36.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2729
50.2 IPS |
