SAMSUNG ELECTRONICS CO., LTD. 960XGK
Geekbench AI Score
1496
Single Precision Score
7647
Half Precision Score
11312
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 01:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT961XGK-K01/C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
548
102.0 IPS |
|
|
Image Classification (HP)
|
100% |
4898
910.8 IPS |
|
|
Image Classification (Q)
|
100% |
6519
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2904
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2631
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
28683
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
62328
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (HP)
|
100% |
4188
332.2 IPS |
|
|
Object Detection (Q)
|
88% |
7420
594.9 IPS |
|
|
Face Detection (SP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
14132
167.9 IPS |
|
|
Face Detection (Q)
|
100% |
22832
271.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2769
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16699
128.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30675
238.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7587
9.75 IPS |
|
|
Style Transfer (HP)
|
100% |
46672
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
75957
97.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12359
456.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21956
813.1 IPS |
|
|
Text Classification (SP)
|
100% |
687
916.8 IPS |
|
|
Text Classification (HP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1287
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2608
44.9 IPS |
