Intel Corporation M50FCP2SBSTD
Geekbench AI Score
2051
Single Precision Score
2016
Half Precision Score
1585
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | May 15 2025 01:32 AM |
| Views | 6 |
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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
1226
228.1 IPS |
|
|
Image Classification (Q)
|
99% |
1287
240.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3234
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3139
50.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1108
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3802
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4003
4.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
6667
7.81 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.0 IPS |
|
|
Object Detection (HP)
|
100% |
2010
159.5 IPS |
|
|
Object Detection (Q)
|
85% |
1616
130.1 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (Q)
|
97% |
2676
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2868
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2645
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1717
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3226
4.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3494
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
6651
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1769
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.6 IPS |
|
|
Text Classification (HP)
|
100% |
454
606.0 IPS |
|
|
Text Classification (Q)
|
92% |
254
341.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (Q)
|
58% |
476
11.2 IPS |
