SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
2303
Single Precision Score
1207
Half Precision Score
4725
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 10:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT940XHA-K71AR |
| 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% |
1684
313.3 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
3826
713.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2492
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2421
2.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
11021
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
86% |
3907
314.0 IPS |
|
|
Face Detection (SP)
|
100% |
4647
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
6548
78.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4239
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1821
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9777
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7589
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6307
8.11 IPS |
|
|
Style Transfer (Q)
|
98% |
16091
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3393
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
673
897.7 IPS |
|
|
Text Classification (Q)
|
97% |
1500
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2580
51.8 IPS |
