SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2422
Single Precision Score
1243
Half Precision Score
4817
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfgauss1777 |
| Upload Date | May 17 2025 06:21 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% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
99% |
4239
790.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2381
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2558
2.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
11945
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1669
132.4 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
86% |
4269
343.1 IPS |
|
|
Face Detection (SP)
|
100% |
4930
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
6479
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4204
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1821
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9416
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7940
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6131
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
16103
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3263
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
699
932.5 IPS |
|
|
Text Classification (Q)
|
97% |
1451
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2811
56.5 IPS |
