SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
2223
Single Precision Score
1162
Half Precision Score
4231
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT940XHA-K51AG |
| 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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.8 IPS |
|
|
Image Classification (Q)
|
99% |
3484
649.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2049
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2905
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2436
2.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
10577
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.1 IPS |
|
|
Object Detection (Q)
|
86% |
3448
277.1 IPS |
|
|
Face Detection (SP)
|
100% |
4368
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
5721
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4011
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1717
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8972
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7268
9.34 IPS |
|
|
Style Transfer (HP)
|
100% |
6033
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
14997
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3104
115.0 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
614
820.1 IPS |
|
|
Text Classification (Q)
|
97% |
1346
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2196
44.1 IPS |
