Supermicro Super Server
Geekbench AI Score
2269
Single Precision Score
2266
Half Precision Score
2371
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 04:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-1620 v4 @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X10SRi-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1620 v4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
1314
244.3 IPS |
|
|
Image Classification (Q)
|
100% |
1462
271.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1673
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2765
3.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
3169
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (HP)
|
100% |
1285
102.0 IPS |
|
|
Object Detection (Q)
|
87% |
1427
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
4037
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3529
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3520
27.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
3847
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8181
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8095
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9135
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1671
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1913
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
1588
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (Q)
|
91% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2042
35.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2031
35.0 IPS |
