SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2294
Single Precision Score
22281
Half Precision Score
34790
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 09:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QHA-KG4DE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
11623
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
16423
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15508
251.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31189
505.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
98298
114.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
199423
233.6 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
15418
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
22016
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3791
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
26725
317.6 IPS |
|
|
Face Detection (Q)
|
100% |
60418
717.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3223
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65754
506.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
107622
837.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7772
9.99 IPS |
|
|
Style Transfer (HP)
|
100% |
193111
248.2 IPS |
|
|
Style Transfer (Q)
|
98% |
296282
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32147
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56354
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
92% |
2544
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2327
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4182
72.0 IPS |
