SAMSUNG ELECTRONICS CO., LTD. 950XDA
Geekbench AI Score
653
Single Precision Score
395
Half Precision Score
1675
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 04:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| 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% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.2 IPS |
|
|
Image Classification (Q)
|
99% |
2652
494.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
2764
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1549
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
1819
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
86% |
1161
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
827
9.83 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
2008
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1235
9.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
316
2.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
2034
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1735
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1844
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
4915
6.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
359
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1335
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
291
389.0 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.3 IPS |
|
|
Text Classification (Q)
|
97% |
534
715.2 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.09 IPS |
|
|
Machine Translation (Q)
|
65% |
787
15.8 IPS |
