SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2552
Single Precision Score
1466
Half Precision Score
6551
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Asol |
| Upload Date | January 30 2025 08:04 PM |
| Views | 3 |
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. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QHA-KG5DE |
| 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% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
100% |
4228
786.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3871
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2771
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1848
2.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
10756
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (Q)
|
88% |
4378
351.0 IPS |
|
|
Face Detection (SP)
|
100% |
4604
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (Q)
|
100% |
11359
135.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3975
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2105
16.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11603
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8209
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5392
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
30275
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1185
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6181
228.9 IPS |
|
|
Text Classification (SP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1207
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1721
29.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1992
34.3 IPS |
