SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
8182
Single Precision Score
21922
Half Precision Score
25085
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Asol |
| Upload Date | January 30 2025 08:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QHA-KG5DE |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6117
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
13317
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
15544
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6344
102.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12640
204.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13913
225.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20323
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
111911
130.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
206228
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
4381
347.5 IPS |
|
|
Object Detection (HP)
|
100% |
11449
908.1 IPS |
|
|
Object Detection (Q)
|
88% |
14121
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
11823
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
28426
337.8 IPS |
|
|
Face Detection (Q)
|
100% |
34121
405.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18532
142.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
49057
378.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
59038
459.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44734
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
133601
171.7 IPS |
|
|
Style Transfer (Q)
|
98% |
149163
192.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8642
319.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28605
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32135
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4627
6.18 KIPS |
|
|
Text Classification (Q)
|
92% |
3338
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4861
83.7 IPS |
