Supermicro Super Server
Geekbench AI Score
32992
Single Precision Score
38520
Half Precision Score
27167
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | March 31 2025 11:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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% |
14300
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
14675
2.73 KIPS |
|
|
Image Classification (Q)
|
99% |
12450
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20938
339.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18845
305.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19037
309.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
264045
308.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
458214
534.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
237755
278.5 IPS |
|
|
Object Detection (SP)
|
100% |
15977
1.27 KIPS |
|
|
Object Detection (HP)
|
99% |
16992
1.35 KIPS |
|
|
Object Detection (Q)
|
87% |
14669
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
43619
518.3 IPS |
|
|
Face Detection (HP)
|
100% |
46383
551.1 IPS |
|
|
Face Detection (Q)
|
97% |
39066
465.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
75821
584.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98108
755.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
61788
495.2 IPS |
|
|
Style Transfer (SP)
|
100% |
413600
531.7 IPS |
|
|
Style Transfer (HP)
|
100% |
644981
829.1 IPS |
|
|
Style Transfer (Q)
|
98% |
387730
500.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48339
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61486
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38503
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4146
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2807
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2620
49.1 IPS |
