SAMSUNG ELECTRONICS CO., LTD. 950XDA
Geekbench AI Score
1813
Single Precision Score
2569
Half Precision Score
4021
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 04:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
2242
416.9 IPS |
|
|
Image Classification (Q)
|
99% |
1721
321.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1442
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2467
2.88 IPS |
|
|
Pose Estimation (HP)
|
99% |
2062
2.41 IPS |
|
|
Pose Estimation (Q)
|
97% |
10077
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (HP)
|
100% |
1080
85.6 IPS |
|
|
Object Detection (Q)
|
90% |
2406
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
2057
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
8004
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4366
33.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7549
58.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11356
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14721
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20791
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51842
66.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2428
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3273
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6992
259.0 IPS |
|
|
Text Classification (SP)
|
71% |
457
661.1 IPS |
|
|
Text Classification (HP)
|
71% |
690
998.6 IPS |
|
|
Text Classification (Q)
|
92% |
533
715.4 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1046
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
