SAMSUNG ELECTRONICS CO., LTD. 960XGK
Geekbench AI Score
1262
Single Precision Score
8470
Half Precision Score
12598
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 09:19 AM |
| 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% |
578
107.4 IPS |
|
|
Image Classification (HP)
|
100% |
5494
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7567
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2921
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1725
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
29337
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64287
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (HP)
|
100% |
5137
407.4 IPS |
|
|
Object Detection (Q)
|
88% |
8530
683.9 IPS |
|
|
Face Detection (SP)
|
100% |
2259
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
15046
178.8 IPS |
|
|
Face Detection (Q)
|
100% |
25780
306.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2180
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16974
130.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
31075
241.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5387
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
49301
63.4 IPS |
|
|
Style Transfer (Q)
|
98% |
85715
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13305
491.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25695
951.6 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
1386
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3398
58.5 IPS |
