SAMSUNG ELECTRONICS CO., LTD. 960XGK
Geekbench AI Score
1768
Single Precision Score
8878
Half Precision Score
13653
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960XGQ-A51AG |
| 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% |
838
155.8 IPS |
|
|
Image Classification (HP)
|
100% |
6141
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8549
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3119
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2577
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
30552
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
65239
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (HP)
|
100% |
5386
427.2 IPS |
|
|
Object Detection (Q)
|
88% |
9140
732.7 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
14547
172.9 IPS |
|
|
Face Detection (Q)
|
100% |
25855
307.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3292
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17216
132.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
31847
247.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7329
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
48020
61.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86263
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14169
523.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27140
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1798
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3963
68.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4086
70.4 IPS |
