SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
2544
Single Precision Score
1465
Half Precision Score
6578
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 03:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960XHA-KC51G |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
100% |
4235
787.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3901
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2805
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1858
2.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
10941
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (Q)
|
88% |
4248
340.5 IPS |
|
|
Face Detection (SP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (Q)
|
100% |
11484
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3910
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2150
16.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11768
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8449
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5432
6.98 IPS |
|
|
Style Transfer (Q)
|
98% |
30289
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1781
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6203
229.7 IPS |
|
|
Text Classification (SP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (Q)
|
92% |
3862
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2014
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1750
30.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2016
34.7 IPS |
