SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2876
Single Precision Score
17531
Half Precision Score
24366
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QHA-MSL |
| 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% |
1820
338.4 IPS |
|
|
Image Classification (HP)
|
100% |
10652
1.98 KIPS |
|
|
Image Classification (Q)
|
100% |
14198
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5305
86.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5921
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
98009
114.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
191555
224.4 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
12620
1.00 KIPS |
|
|
Object Detection (Q)
|
87% |
17065
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
5301
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
25044
297.6 IPS |
|
|
Face Detection (Q)
|
100% |
44393
527.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4613
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64763
499.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
97129
755.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9773
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
193736
249.1 IPS |
|
|
Style Transfer (Q)
|
98% |
291186
375.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29848
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49594
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
1714
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1948
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1976
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2182
37.6 IPS |
