SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
1824
Single Precision Score
1073
Half Precision Score
4604
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 09:56 AM |
| Views | 4 |
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-KG2SE |
| 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% |
1917
356.5 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
99% |
3524
657.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7172
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4972
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2914
3.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
16320
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.44 IPS |
|
|
Object Detection (Q)
|
86% |
390
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
546
6.48 IPS |
|
|
Face Detection (HP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
7737
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6269
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1966
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12856
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12166
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7919
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18959
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4523
167.5 IPS |
|
|
Text Classification (SP)
|
100% |
1254
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.3 IPS |
|
|
Text Classification (Q)
|
97% |
1278
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2442
49.1 IPS |
