SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
11081
Single Precision Score
26026
Half Precision Score
29072
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abhimanbhau |
| Upload Date | January 09 2026 04:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU RI (16GB) (iGPU) |
| 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% |
7365
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
12922
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
15378
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9797
158.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26206
424.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30539
495.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23784
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
134877
157.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
265945
311.4 IPS |
|
|
Object Detection (SP)
|
100% |
6635
526.3 IPS |
|
|
Object Detection (HP)
|
100% |
15685
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
17178
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
14881
176.8 IPS |
|
|
Face Detection (HP)
|
100% |
33923
403.1 IPS |
|
|
Face Detection (Q)
|
100% |
45277
538.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24435
188.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61248
471.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
70010
544.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53358
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
151892
195.3 IPS |
|
|
Style Transfer (Q)
|
98% |
174362
224.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9740
359.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28315
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29471
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
4293
5.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2464
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3022
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4783
82.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5010
86.3 IPS |
