SAMSUNG ELECTRONICS CO., LTD. 750QUA
Geekbench AI Score
625
Single Precision Score
386
Half Precision Score
654
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | vacantsouls |
| Upload Date | September 09 2025 03:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750QUA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750QUA-K01US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
96% |
576
107.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
557
9.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
891
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
695
0.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
798
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
58% |
319
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (Q)
|
96% |
1104
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
892
6.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
535
4.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
982
7.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1820
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1686
2.17 IPS |
|
|
Style Transfer (Q)
|
87% |
2473
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
491
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.3 IPS |
|
|
Text Classification (HP)
|
100% |
238
318.2 IPS |
|
|
Text Classification (Q)
|
97% |
197
263.3 IPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
68% |
681
13.2 IPS |
