SAMSUNG ELECTRONICS CO., LTD. 750XFH
Geekbench AI Score
2993
Single Precision Score
3069
Half Precision Score
1916
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erickdeoliveiraleal |
| Upload Date | June 22 2025 11:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XFH |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XFH-XS1BR |
| 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% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
100% |
1081
201.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11776
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12669
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
6101
7.15 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.9 IPS |
|
|
Object Detection (HP)
|
98% |
1282
102.0 IPS |
|
|
Object Detection (Q)
|
86% |
1203
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
2186
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5865
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6658
51.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4182
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25746
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33885
43.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16258
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3307
122.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4685
173.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1472
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
351
467.9 IPS |
|
|
Text Classification (Q)
|
97% |
511
684.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
70% |
508
9.53 IPS |
