SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
2489
Single Precision Score
1320
Half Precision Score
4987
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bourhene |
| Upload Date | June 23 2025 01:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XHA-KG1FR |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1757
326.7 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.3 IPS |
|
|
Image Classification (Q)
|
99% |
4096
764.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2481
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3096
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
11961
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1676
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
86% |
4206
338.0 IPS |
|
|
Face Detection (SP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
6942
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4480
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1924
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10036
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8245
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6839
8.79 IPS |
|
|
Style Transfer (Q)
|
98% |
16703
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1518
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
738
985.6 IPS |
|
|
Text Classification (Q)
|
97% |
1559
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2940
59.1 IPS |
