Supermicro Super Server
Geekbench AI Score
11514
Single Precision Score
21765
Half Precision Score
23188
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 14 2025 12:27 AM |
| 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 Server 2025 Datacenter (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| Power Plan | High 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% |
5572
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
9423
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
9805
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11410
185.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18961
307.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19990
324.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
42064
49.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
181769
212.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
250484
293.3 IPS |
|
|
Object Detection (SP)
|
100% |
5094
404.0 IPS |
|
|
Object Detection (HP)
|
100% |
11181
886.9 IPS |
|
|
Object Detection (Q)
|
88% |
12129
972.0 IPS |
|
|
Face Detection (SP)
|
100% |
19226
228.5 IPS |
|
|
Face Detection (HP)
|
100% |
29851
354.7 IPS |
|
|
Face Detection (Q)
|
100% |
31707
376.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23938
184.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57384
442.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
59927
465.8 IPS |
|
|
Style Transfer (SP)
|
100% |
108999
140.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238863
307.1 IPS |
|
|
Style Transfer (Q)
|
98% |
320085
412.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14578
538.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28380
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28855
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1484
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2899
49.9 IPS |
