SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
3162
Single Precision Score
1458
Half Precision Score
6610
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 09:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XHA-LG3IN |
| 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% |
2423
450.6 IPS |
|
|
Image Classification (HP)
|
100% |
564
105.0 IPS |
|
|
Image Classification (Q)
|
99% |
5078
947.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7434
120.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4988
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3526
4.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
16832
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (HP)
|
100% |
671
53.2 IPS |
|
|
Object Detection (Q)
|
86% |
5278
424.2 IPS |
|
|
Face Detection (SP)
|
100% |
6182
73.5 IPS |
|
|
Face Detection (HP)
|
100% |
1727
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
8596
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6441
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2045
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14065
112.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11639
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8749
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20804
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
696
928.4 IPS |
|
|
Text Classification (Q)
|
97% |
1426
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2081
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2633
52.9 IPS |
