Intel Corporation M50FCP2SBSTD
Geekbench AI Score
1958
Single Precision Score
1910
Half Precision Score
1519
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | May 15 2025 01:37 AM |
| Views | 5 |
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% |
1131
210.3 IPS |
|
|
Image Classification (HP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (Q)
|
99% |
1065
198.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3214
52.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3154
3.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
6599
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (Q)
|
85% |
1369
110.2 IPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
2592
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2573
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2385
18.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1749
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3373
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3371
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
7234
9.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1637
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.8 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.6 IPS |
|
|
Text Classification (Q)
|
92% |
241
323.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (Q)
|
58% |
472
11.1 IPS |
