SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
2444
Single Precision Score
1253
Half Precision Score
4799
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 08 2024 09:07 PM |
| Views | 23 |
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. NT960XHAA-RS3 |
| 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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
99% |
3961
738.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2478
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3090
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
11792
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
86% |
3980
319.9 IPS |
|
|
Face Detection (SP)
|
100% |
4910
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
6703
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4399
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1880
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10031
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7899
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6305
8.10 IPS |
|
|
Style Transfer (Q)
|
98% |
16583
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3223
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
1258
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.4 IPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2556
51.4 IPS |
