SAMSUNG ELECTRONICS CO., LTD. 950XED
Geekbench AI Score
2327
Single Precision Score
2329
Half Precision Score
1471
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 950XED |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP950XED-KA1SE |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
974
181.1 IPS |
|
|
Image Classification (HP)
|
100% |
980
182.3 IPS |
|
|
Image Classification (Q)
|
100% |
816
151.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1104
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8183
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
9310
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
4758
5.57 IPS |
|
|
Object Detection (SP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (HP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (Q)
|
86% |
938
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
1693
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4641
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5149
39.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3308
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18792
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24191
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12593
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2753
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3496
129.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1221
45.2 IPS |
|
|
Text Classification (SP)
|
100% |
707
944.1 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.8 IPS |
|
|
Text Classification (Q)
|
97% |
344
460.7 IPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
70% |
400
7.51 IPS |
