SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
2923
Single Precision Score
30167
Half Precision Score
49076
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abhimanbhau |
| Upload Date | January 09 2026 04:08 AM |
| Views | 6 |
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. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XHA-KG3US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1789
332.7 IPS |
|
|
Image Classification (HP)
|
100% |
15559
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
22013
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20068
325.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33739
546.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3255
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
111898
130.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
251619
294.7 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
17255
1.37 KIPS |
|
|
Object Detection (Q)
|
88% |
28373
2.27 KIPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
40324
479.1 IPS |
|
|
Face Detection (Q)
|
100% |
81667
970.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4207
32.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
81343
631.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
160051
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
9186
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238283
306.3 IPS |
|
|
Style Transfer (Q)
|
98% |
405298
522.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40875
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79641
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2094
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
92% |
3424
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2905
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10817
186.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10581
182.3 IPS |
