SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench ML Score
5619
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 25 2025 06:22 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 | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2743
513.4 IPS |
|
|
Image Classification (F16)
|
100% |
2776
519.4 IPS |
|
|
Image Classification (I8)
|
100% |
2311
432.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6140
102.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
6054
101.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4554
76.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
19757
23.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
19795
24.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
15863
19.2 IPS |
|
|
Object Detection (F32)
|
100% |
3096
231.1 IPS |
|
|
Object Detection (F16)
|
100% |
2927
218.5 IPS |
|
|
Object Detection (I8)
|
61% |
2667
199.1 IPS |
|
|
Face Detection (F32)
|
100% |
7522
89.4 IPS |
|
|
Face Detection (F16)
|
100% |
8340
99.2 IPS |
|
|
Face Detection (I8)
|
89% |
5266
62.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
17395
134.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17513
135.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
15029
116.5 IPS |
|
|
Style Transfer (F32)
|
100% |
47326
62.3 IPS |
|
|
Style Transfer (F16)
|
100% |
43183
56.8 IPS |
|
|
Style Transfer (I8)
|
98% |
35868
47.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6975
249.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8248
294.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5230
186.8 IPS |
|
|
Text Classification (F32)
|
100% |
609
875.0 IPS |
|
|
Text Classification (F16)
|
100% |
825
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
457
657.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2601
47.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2654
48.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1311
24.1 IPS |
