SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2979
Single Precision Score
19279
Half Precision Score
28613
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfgauss1777 |
| Upload Date | May 16 2025 06:14 PM |
| Views | 5 |
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. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QHA-KG2DE |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1668
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
10284
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
12136
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14652
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27953
453.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3258
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
97745
114.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
186488
218.5 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
12234
970.4 IPS |
|
|
Object Detection (Q)
|
87% |
18035
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
5158
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
23885
283.8 IPS |
|
|
Face Detection (Q)
|
100% |
57116
678.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4447
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59086
455.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
88664
690.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9615
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
197336
253.7 IPS |
|
|
Style Transfer (Q)
|
98% |
278946
359.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26594
982.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
47132
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2020
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1530
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3165
54.5 IPS |
