Supermicro SYS-512B-WR
Geekbench AI Score
9886
Single Precision Score
6912
Half Precision Score
21077
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 01:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6505P |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro SYS-512B-WR |
| Motherboard | Supermicro X14SBW-F |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6505P |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5622
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
5067
942.3 IPS |
|
|
Image Classification (Q)
|
100% |
12109
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8153
132.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19736
319.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16335
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10380
12.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
64280
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
5891
467.2 IPS |
|
|
Object Detection (HP)
|
100% |
5053
400.8 IPS |
|
|
Object Detection (Q)
|
88% |
12299
985.9 IPS |
|
|
Face Detection (SP)
|
100% |
18239
216.7 IPS |
|
|
Face Detection (HP)
|
100% |
13699
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
34961
415.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14802
114.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12443
95.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
36547
284.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44274
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26229
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
152746
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8904
328.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21644
801.6 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
4057
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5486
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5392
92.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5344
92.1 IPS |
