SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
2697
Single Precision Score
27557
Half Precision Score
42377
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1530
284.5 IPS |
|
|
Image Classification (HP)
|
100% |
14831
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
18244
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19122
310.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32636
529.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3135
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
108920
127.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
244016
285.8 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
100% |
14888
1.18 KIPS |
|
|
Object Detection (Q)
|
88% |
21284
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
4624
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
39365
467.7 IPS |
|
|
Face Detection (Q)
|
100% |
81702
970.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3982
30.7 IPS |
|
|
Depth Estimation (HP)
|
92% |
77536
601.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
143845
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
8799
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226885
291.7 IPS |
|
|
Style Transfer (Q)
|
98% |
383167
494.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42955
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79685
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2652
3.54 KIPS |
|
|
Text Classification (Q)
|
92% |
2210
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2755
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6961
119.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7617
131.2 IPS |
