SAMSUNG ELECTRONICS CO., LTD. 950XDA
Geekbench AI Score
1540
Single Precision Score
1690
Half Precision Score
919
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 04:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 950XDA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT950XDZ-A58AW |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1007
187.3 IPS |
|
|
Image Classification (HP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (Q)
|
100% |
824
153.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
692
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3074
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4945
5.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
2563
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
98% |
824
65.6 IPS |
|
|
Object Detection (Q)
|
86% |
305
24.5 IPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
1012
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3051
23.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5134
39.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2775
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16245
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18187
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7831
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2795
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3408
125.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.2 IPS |
|
|
Text Classification (HP)
|
100% |
101
134.6 IPS |
|
|
Text Classification (Q)
|
97% |
119
159.7 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
70% |
375
7.03 IPS |
