Samsung Galaxy Book 3 Ultra - OpenVINO GPU (Xe Graphics) SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
5122
Single Precision Score
7141
Half Precision Score
10977
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | July 03 2025 12:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XFH |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XFH-XA1NL |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3296
612.9 IPS |
|
|
Image Classification (HP)
|
100% |
5026
934.6 IPS |
|
|
Image Classification (Q)
|
99% |
6724
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5018
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7914
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10530
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10759
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
8508
9.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
33437
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
3046
241.6 IPS |
|
|
Object Detection (HP)
|
100% |
4218
334.6 IPS |
|
|
Object Detection (Q)
|
90% |
7292
583.0 IPS |
|
|
Face Detection (SP)
|
100% |
8645
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
12638
150.2 IPS |
|
|
Face Detection (Q)
|
100% |
17678
210.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10481
80.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
16565
128.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
21494
167.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28031
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42291
54.4 IPS |
|
|
Style Transfer (Q)
|
98% |
77633
100.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4679
172.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7587
280.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13960
517.0 IPS |
|
|
Text Classification (SP)
|
71% |
1365
1.97 KIPS |
|
|
Text Classification (HP)
|
71% |
1550
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1514
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2322
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2361
40.8 IPS |
