SAMSUNG ELECTRONICS CO., LTD. 500THA/500SHA
Geekbench AI Score
4961
Single Precision Score
9840
Half Precision Score
15050
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 26 2026 09:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 500THA/500SHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. DM500SHA-AC51B |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3009
559.6 IPS |
|
|
Image Classification (HP)
|
100% |
7099
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9905
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3470
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3801
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5713
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
34300
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73859
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
2918
231.5 IPS |
|
|
Object Detection (HP)
|
100% |
6173
489.7 IPS |
|
|
Object Detection (Q)
|
87% |
10053
806.9 IPS |
|
|
Face Detection (SP)
|
100% |
8251
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
16195
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
30762
365.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7493
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18205
140.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34300
266.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17095
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50842
65.4 IPS |
|
|
Style Transfer (Q)
|
98% |
93648
120.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14280
527.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24192
895.9 IPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2014
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4417
76.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4432
76.3 IPS |
