SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
2630
Single Precision Score
1775
Half Precision Score
7045
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XHA-LG2IN |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1462
272.0 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
100% |
4152
772.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4158
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
9960
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (Q)
|
88% |
4632
371.3 IPS |
|
|
Face Detection (SP)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
3773
44.8 IPS |
|
|
Face Detection (Q)
|
100% |
11769
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4019
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2896
22.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
12285
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8687
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5899
7.58 IPS |
|
|
Style Transfer (Q)
|
98% |
31376
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6906
255.7 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
4248
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2842
49.0 IPS |
