SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
3272
Single Precision Score
1364
Half Precision Score
6408
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jawolken |
| Upload Date | December 19 2025 11:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP944XHA-KG3US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
2515
467.7 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
99% |
5331
994.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6620
107.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3142
3.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
16115
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (Q)
|
86% |
5186
416.8 IPS |
|
|
Face Detection (SP)
|
100% |
6605
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
8528
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6663
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2069
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13593
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11817
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8168
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20598
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2247
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
1390
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
588
784.4 IPS |
|
|
Text Classification (Q)
|
97% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2697
54.2 IPS |
