Supermicro Super Server
Geekbench AI Score
11358
Single Precision Score
21261
Half Precision Score
22636
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | March 31 2025 11:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro A60 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5464
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
9123
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
9438
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11333
183.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18818
305.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19719
319.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
42266
49.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
180472
210.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
246916
289.1 IPS |
|
|
Object Detection (SP)
|
100% |
5005
397.0 IPS |
|
|
Object Detection (HP)
|
100% |
10825
858.7 IPS |
|
|
Object Detection (Q)
|
88% |
11702
937.8 IPS |
|
|
Face Detection (SP)
|
100% |
19095
226.9 IPS |
|
|
Face Detection (HP)
|
100% |
28711
341.1 IPS |
|
|
Face Detection (Q)
|
100% |
31216
370.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23764
183.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55701
429.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
57262
445.1 IPS |
|
|
Style Transfer (SP)
|
100% |
108424
139.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237812
305.7 IPS |
|
|
Style Transfer (Q)
|
98% |
318686
411.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14393
531.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27965
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28182
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1417
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2888
49.7 IPS |
