Samsung Galaxy Book 3 Ultra - ONNX SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
3105
Single Precision Score
1240
Half Precision Score
5816
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | July 03 2025 12:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| 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% |
2475
460.3 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
4865
907.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6813
110.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4892
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
15889
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
86% |
4375
351.6 IPS |
|
|
Face Detection (SP)
|
100% |
5727
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
6938
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6218
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1751
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11522
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11758
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7960
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16333
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4607
170.6 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
643
858.3 IPS |
|
|
Text Classification (Q)
|
97% |
1355
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1672
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2359
47.4 IPS |
