SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
3029
Single Precision Score
29671
Half Precision Score
49759
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:03 AM |
| Views | 5 |
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. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XHA-KG2DE |
| 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% |
1840
342.3 IPS |
|
|
Image Classification (HP)
|
100% |
14791
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
21896
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19787
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33795
547.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
111646
130.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
251649
294.8 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.7 IPS |
|
|
Object Detection (HP)
|
100% |
18722
1.49 KIPS |
|
|
Object Detection (Q)
|
88% |
28845
2.31 KIPS |
|
|
Face Detection (SP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
41416
492.1 IPS |
|
|
Face Detection (Q)
|
100% |
95039
1.13 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4515
34.8 IPS |
|
|
Depth Estimation (HP)
|
95% |
74689
578.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
156456
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
9804
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
241235
310.1 IPS |
|
|
Style Transfer (Q)
|
98% |
411878
531.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43880
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81338
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1974
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8316
143.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9325
160.6 IPS |
