SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2240
Single Precision Score
1169
Half Precision Score
4537
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfgauss1777 |
| Upload Date | May 09 2025 06:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| 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% |
1541
286.5 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (Q)
|
99% |
3696
689.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2329
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
10903
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
589
46.8 IPS |
|
|
Object Detection (Q)
|
86% |
3723
299.2 IPS |
|
|
Face Detection (SP)
|
100% |
4487
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
1460
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
6340
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3932
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1727
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9191
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7470
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6003
7.72 IPS |
|
|
Style Transfer (Q)
|
98% |
15348
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3172
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
1092
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.3 IPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2553
51.3 IPS |
