Intel Corporation M50FCP2SBSTD
Geekbench AI Score
405
Single Precision Score
418
Half Precision Score
306
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | JoaoSchlemm |
| Upload Date | May 15 2025 01:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | INTEL(R) XEON(R) PLATINUM 8558P |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Intel Corporation M50FCP2SBSTD |
| Motherboard | Intel Corporation M50FCP2SBSTD |
| CPU Information | |
|---|---|
| Name | INTEL(R) XEON(R) PLATINUM 8558P |
| Topology | 2 Processors, 96 Cores, 192 Threads |
| Identifier | GenuineIntel Family 6 Model 207 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1007.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.4 IPS |
|
|
Image Classification (Q)
|
97% |
152
28.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
265
4.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
576
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
87% |
190
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
615
7.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
619
4.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
590
4.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
441
4.06 IPS |
|
|
Style Transfer (SP)
|
100% |
1264
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1219
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1431
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
249
9.22 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.4 IPS |
|
|
Text Classification (HP)
|
100% |
182
243.5 IPS |
|
|
Text Classification (Q)
|
91% |
122
164.6 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (Q)
|
58% |
143
3.41 IPS |
