SIEMENS AG SIMATIC IPC BX-39A
Geekbench AI Score
1637
Single Precision Score
572
Half Precision Score
4375
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | July 01 2025 07:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-11865MLE |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | SIEMENS AG SIMATIC IPC BX-39A |
| Motherboard | SIEMENS AG A5E51244408 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-11865MLE |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
945
175.8 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (Q)
|
97% |
4242
791.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
1749
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4311
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2053
2.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
13955
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
86% |
4777
383.9 IPS |
|
|
Face Detection (SP)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
97% |
7648
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2932
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
832
6.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
9505
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5996
7.71 IPS |
|
|
Style Transfer (HP)
|
100% |
8347
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
11623
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3027
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
418
558.1 IPS |
|
|
Text Classification (Q)
|
97% |
876
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (Q)
|
65% |
2320
46.6 IPS |
