SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2728
Single Precision Score
1200
Half Precision Score
5667
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 11:32 AM |
| Views | 3 |
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-KG1ES |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
1880
349.7 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
4429
826.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1214
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6118
99.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4316
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3096
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
15328
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1863
147.8 IPS |
|
|
Object Detection (HP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
86% |
5012
402.8 IPS |
|
|
Face Detection (SP)
|
100% |
5567
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
7411
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5059
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1723
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11644
92.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10722
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7524
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
17779
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4087
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
540
721.3 IPS |
|
|
Text Classification (Q)
|
97% |
1299
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1740
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2015
40.5 IPS |
