Supermicro SYS-821GE-TNHR-B0-BA008
Geekbench AI Score
1775
Single Precision Score
1811
Half Precision Score
1291
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | August 30 2024 05:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon Platinum 8468 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.2 LTS |
| Model | Supermicro SYS-821GE-TNHR-B0-BA008 |
| Motherboard | Supermicro X13DEG-OAD |
| CPU Information | |
|---|---|
| Name | Intel Xeon Platinum 8468 |
| Topology | 2 Processors, 96 Cores, 192 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 2015.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (Q)
|
99% |
1135
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2989
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
857
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2846
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2786
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
5013
5.87 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.4 IPS |
|
|
Object Detection (HP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (Q)
|
86% |
1305
105.0 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2933
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
2400
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1987
15.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
1985
15.3 IPS |
|
|
Depth Estimation (Q)
|
74% |
1742
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2966
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2949
3.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3948
5.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1607
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
413
551.1 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.6 IPS |
|
|
Text Classification (Q)
|
92% |
218
292.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1791
30.8 IPS |
|
|
Machine Translation (Q)
|
58% |
350
8.23 IPS |
