Supermicro Super Server
Geekbench AI Score
34632
Single Precision Score
40961
Half Precision Score
28603
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 05 2025 02:25 PM |
| Views | 9 |
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% |
15481
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
16692
3.10 KIPS |
|
|
Image Classification (Q)
|
99% |
13716
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20932
339.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18957
307.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19116
310.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
259788
303.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
452686
528.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
240810
282.1 IPS |
|
|
Object Detection (SP)
|
100% |
17391
1.38 KIPS |
|
|
Object Detection (HP)
|
99% |
18169
1.44 KIPS |
|
|
Object Detection (Q)
|
87% |
15527
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
43719
519.5 IPS |
|
|
Face Detection (HP)
|
100% |
48528
576.6 IPS |
|
|
Face Detection (Q)
|
97% |
39419
470.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
81102
624.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104466
804.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
66700
534.5 IPS |
|
|
Style Transfer (SP)
|
100% |
432358
555.8 IPS |
|
|
Style Transfer (HP)
|
100% |
672196
864.1 IPS |
|
|
Style Transfer (Q)
|
98% |
390438
503.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49356
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65542
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41430
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
4826
6.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
3090
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4643
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2845
53.4 IPS |
