Supermicro Super Server
Geekbench AI Score
30629
Single Precision Score
32927
Half Precision Score
24305
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 11 2025 01:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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% |
12822
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
12350
2.30 KIPS |
|
|
Image Classification (Q)
|
99% |
10828
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16510
267.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16666
270.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15396
250.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
243856
284.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
321485
375.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
228741
267.9 IPS |
|
|
Object Detection (SP)
|
100% |
15498
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
14999
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
13366
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
45037
535.1 IPS |
|
|
Face Detection (HP)
|
100% |
43401
515.7 IPS |
|
|
Face Detection (Q)
|
97% |
37476
446.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
71474
550.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85654
659.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
60816
487.8 IPS |
|
|
Style Transfer (SP)
|
100% |
423132
543.9 IPS |
|
|
Style Transfer (HP)
|
100% |
526457
676.8 IPS |
|
|
Style Transfer (Q)
|
98% |
386344
498.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45346
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52547
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35263
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2084
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2182
40.9 IPS |
