Supermicro Super Server
Geekbench AI Score
5161
Single Precision Score
5237
Half Precision Score
13785
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 19 2025 06:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| 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% |
2885
536.6 IPS |
|
|
Image Classification (HP)
|
100% |
3171
589.8 IPS |
|
|
Image Classification (Q)
|
100% |
9824
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4344
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6769
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8453
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
8526
9.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
31822
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
2827
224.2 IPS |
|
|
Object Detection (HP)
|
100% |
2846
225.8 IPS |
|
|
Object Detection (Q)
|
88% |
10464
838.8 IPS |
|
|
Face Detection (SP)
|
100% |
9589
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
9549
113.5 IPS |
|
|
Face Detection (Q)
|
100% |
24493
291.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8562
66.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27350
212.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24125
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22865
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91029
117.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3912
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16806
622.4 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (Q)
|
92% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1972
34.0 IPS |
