SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2345
Single Precision Score
1235
Half Precision Score
4635
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 08 2025 03:39 PM |
| Views | 7 |
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. NP960QHA-MSS |
| 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% |
1640
304.9 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
3745
698.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2321
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2519
2.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
11611
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
86% |
3544
284.8 IPS |
|
|
Face Detection (SP)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
6563
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4335
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1869
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9731
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7740
9.95 IPS |
|
|
Style Transfer (HP)
|
100% |
6391
8.22 IPS |
|
|
Style Transfer (Q)
|
98% |
16244
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3393
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.7 IPS |
|
|
Text Classification (Q)
|
97% |
1463
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2487
50.0 IPS |
