SAMSUNG ELECTRONICS CO., LTD. 750QFG
Geekbench AI Score
3083
Single Precision Score
3170
Half Precision Score
1961
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | afblur |
| Upload Date | November 10 2025 12:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750QFG |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750QFG-KA2US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
1452
270.1 IPS |
|
|
Image Classification (Q)
|
100% |
1103
205.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1565
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11481
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12103
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
6239
7.31 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
98% |
1355
107.8 IPS |
|
|
Object Detection (Q)
|
86% |
1257
101.0 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
2226
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6167
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6718
51.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
4112
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24565
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32479
41.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16521
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1567
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
454
605.9 IPS |
|
|
Text Classification (Q)
|
97% |
515
690.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
70% |
511
9.58 IPS |
