SAMSUNG ELECTRONICS CO., LTD. 750QFG
Geekbench AI Score
3103
Single Precision Score
3173
Half Precision Score
1984
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | April 19 2025 10:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750QFG |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750QFG-KA5SE |
| 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% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
1465
272.4 IPS |
|
|
Image Classification (Q)
|
100% |
1178
219.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1577
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11558
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12014
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6139
7.19 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (Q)
|
86% |
1286
103.4 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3739
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
2216
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6136
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6727
52.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4314
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24673
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32149
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16692
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3428
126.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1551
57.4 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
423
564.4 IPS |
|
|
Text Classification (Q)
|
97% |
510
683.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
70% |
513
9.62 IPS |
