SAMSUNG ELECTRONICS CO., LTD. 950XDA
Geekbench AI Score
802
Single Precision Score
639
Half Precision Score
1228
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 | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| 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% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
100% |
521
96.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
475
7.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
1668
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
88% |
513
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (Q)
|
100% |
1348
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1151
8.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1762
13.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
3419
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3442
4.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3272
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
14782
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1081
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
515
687.5 IPS |
|
|
Text Classification (HP)
|
100% |
338
450.8 IPS |
|
|
Text Classification (Q)
|
92% |
1094
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (Q)
|
100% |
458
7.90 IPS |
