SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
3102
Single Precision Score
19108
Half Precision Score
27326
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfgauss1777 |
| Upload Date | May 17 2025 06:28 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% |
1775
330.1 IPS |
|
|
Image Classification (HP)
|
100% |
8887
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
12463
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15136
245.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27943
453.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
97649
113.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
190922
223.6 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
12362
980.6 IPS |
|
|
Object Detection (Q)
|
87% |
16165
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
5340
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
27352
325.0 IPS |
|
|
Face Detection (Q)
|
100% |
58325
693.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4610
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
60872
469.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
95039
739.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9982
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
190165
244.5 IPS |
|
|
Style Transfer (Q)
|
98% |
272094
350.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26650
984.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
45170
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2975
51.2 IPS |
