SAMSUNG ELECTRONICS CO., LTD. 750XHD
Geekbench AI Score
2161
Single Precision Score
923
Half Precision Score
4326
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 21 2025 12:05 AM |
| Views | 169 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XHD |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT750XHD-PS6 |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1481
275.4 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.5 IPS |
|
|
Image Classification (Q)
|
99% |
4768
889.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2725
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3868
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2236
2.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
11942
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
86% |
3644
292.9 IPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
6124
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4103
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1264
9.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
8810
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7426
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4905
6.31 IPS |
|
|
Style Transfer (Q)
|
98% |
14176
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2279
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
502
669.4 IPS |
|
|
Text Classification (Q)
|
97% |
1184
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1971
39.6 IPS |
