Supermicro X10DRH
Geekbench AI Score
1411
Single Precision Score
1402
Half Precision Score
1054
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | xDJoelDx |
| Upload Date | December 06 2024 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v4 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Supermicro X10DRH |
| Motherboard | Supermicro X10DRH-iT |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 503.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (HP)
|
100% |
1050
195.2 IPS |
|
|
Image Classification (Q)
|
99% |
728
135.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
711
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1864
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1818
2.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
3355
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (Q)
|
85% |
782
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1559
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1448
11.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1471
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1922
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1875
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
4365
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1185
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1140
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
333
447.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
58% |
328
7.71 IPS |
