SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2739
Single Precision Score
18928
Half Precision Score
25795
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfgauss1777 |
| Upload Date | May 16 2025 06:11 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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
11064
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
8733
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15263
247.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27945
453.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3226
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
99125
115.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
188236
220.5 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
100% |
13282
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
16376
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
5104
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
21921
260.5 IPS |
|
|
Face Detection (Q)
|
100% |
51007
606.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4455
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63989
493.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
89100
693.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9460
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
187237
240.7 IPS |
|
|
Style Transfer (Q)
|
98% |
280682
361.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23220
857.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33394
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1230
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3310
57.0 IPS |
