SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
2599
Single Precision Score
1330
Half Precision Score
5063
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 09:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XHA-KG3US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1843
342.8 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
4133
771.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2475
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
12184
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
86% |
4289
344.7 IPS |
|
|
Face Detection (SP)
|
100% |
5171
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
1707
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
6888
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4641
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1972
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10553
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8394
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6820
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
17334
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3495
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
690
920.5 IPS |
|
|
Text Classification (Q)
|
97% |
1586
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2969
59.7 IPS |
