SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2218
Single Precision Score
1152
Half Precision Score
4588
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 09:47 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 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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
99% |
3808
710.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2287
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2831
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2380
2.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
10843
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (Q)
|
86% |
3679
295.6 IPS |
|
|
Face Detection (SP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
6430
76.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3922
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1727
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9212
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7310
9.40 IPS |
|
|
Style Transfer (HP)
|
100% |
6046
7.77 IPS |
|
|
Style Transfer (Q)
|
98% |
15641
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3325
123.1 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
629
840.1 IPS |
|
|
Text Classification (Q)
|
97% |
1515
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1783
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2554
51.3 IPS |
