Samsung Galaxy Book 3 Ultra - OpenVINO CPU SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
3022
Single Precision Score
3305
Half Precision Score
7430
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | July 03 2025 12:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1449
269.4 IPS |
|
|
Image Classification (HP)
|
100% |
1841
342.3 IPS |
|
|
Image Classification (Q)
|
100% |
5431
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3966
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3991
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4010
4.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
14541
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2036
161.5 IPS |
|
|
Object Detection (HP)
|
100% |
2091
165.8 IPS |
|
|
Object Detection (Q)
|
88% |
5488
439.9 IPS |
|
|
Face Detection (SP)
|
100% |
6243
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
6216
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
12453
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3210
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3463
26.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
8350
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11826
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11995
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25477
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2558
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8598
318.4 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (Q)
|
92% |
3936
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3283
56.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3331
57.4 IPS |
