SIEMENS AG SIMATIC IPC BX-39A
Geekbench AI Score
3524
Single Precision Score
3528
Half Precision Score
9332
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | July 01 2025 06:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-11865MLE @ 1.50GHz |
| 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% |
2354
437.8 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.5 IPS |
|
|
Image Classification (Q)
|
100% |
6303
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6097
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4276
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4326
5.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
17163
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2014
159.8 IPS |
|
|
Object Detection (HP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (Q)
|
88% |
6601
529.2 IPS |
|
|
Face Detection (SP)
|
100% |
3946
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
15756
187.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5417
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5434
41.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
17017
132.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11829
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11893
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
44640
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8717
322.8 IPS |
|
|
Text Classification (SP)
|
100% |
2139
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
3142
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3510
60.5 IPS |
