SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2448
Single Precision Score
1259
Half Precision Score
4881
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 12 2025 11:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP964QHA-KG2US |
| Power Plan | SAMSUNG MODE |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (Q)
|
99% |
4060
757.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2418
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
11771
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (Q)
|
86% |
4151
333.6 IPS |
|
|
Face Detection (SP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
6803
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4332
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1871
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9841
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7813
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6608
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
16675
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3366
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
1203
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.6 IPS |
|
|
Text Classification (Q)
|
97% |
1522
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2015
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2800
56.3 IPS |
