SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2570
Single Precision Score
18561
Half Precision Score
26858
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Asol |
| Upload Date | January 30 2025 07:57 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-KG5DE |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
11651
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
17189
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8029
130.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11225
182.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2786
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
69017
80.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
167520
196.2 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
13289
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
18364
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
23026
273.6 IPS |
|
|
Face Detection (Q)
|
100% |
38092
452.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3847
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58766
452.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
94419
734.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8264
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
179538
230.8 IPS |
|
|
Style Transfer (Q)
|
98% |
261792
337.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28934
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45044
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
1877
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2717
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2832
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2856
49.2 IPS |
