SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
2586
Single Precision Score
26126
Half Precision Score
43032
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 03:24 AM |
| Views | 2 |
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. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XHA-KG2US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
10387
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
19793
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18496
299.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29439
477.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3219
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
106699
124.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
229729
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
16911
1.34 KIPS |
|
|
Object Detection (Q)
|
88% |
21603
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
5220
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
38966
463.0 IPS |
|
|
Face Detection (Q)
|
100% |
79350
942.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4338
33.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
79647
617.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
154767
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
9248
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
184742
237.5 IPS |
|
|
Style Transfer (Q)
|
98% |
363245
468.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42881
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
68116
2.52 KIPS |
|
|
Text Classification (SP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2611
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3134
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7907
136.2 IPS |
