SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
1766
Single Precision Score
925
Half Precision Score
3671
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Kalpit |
| Upload Date | April 18 2025 05:19 AM |
| Views | 10 |
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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
99% |
3034
565.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2079
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2489
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
8269
9.70 IPS |
|
|
Object Detection (SP)
|
100% |
1134
90.0 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
2920
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
5267
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3039
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1270
9.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
7138
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5579
7.17 IPS |
|
|
Style Transfer (HP)
|
100% |
4468
5.74 IPS |
|
|
Style Transfer (Q)
|
98% |
12170
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2554
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
504
672.3 IPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2119
42.6 IPS |
