iXsystems RS520-E9-RS12-E-IXN
Geekbench ML Score
855
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 06:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | iXsystems RS520-E9-RS12-E-IXN |
| Motherboard | ASUSTeK COMPUTER INC. Z11PR-D16 Series |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6226R |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 22.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 251.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
968
181.1 IPS |
|
|
Image Classification (F16)
|
100% |
910
170.2 IPS |
|
|
Image Classification (I8)
|
99% |
678
126.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1281
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1503
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
625
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1863
2.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
2149
2.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
2173
2.63 IPS |
|
|
Object Detection (F32)
|
100% |
370
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
979
73.1 IPS |
|
|
Object Detection (I8)
|
65% |
207
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
672
7.99 IPS |
|
|
Face Detection (F16)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (I8)
|
87% |
589
7.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
921
7.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
1333
10.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
1023
7.93 IPS |
|
|
Style Transfer (F32)
|
100% |
1788
2.35 IPS |
|
|
Style Transfer (F16)
|
100% |
1795
2.36 IPS |
|
|
Style Transfer (I8)
|
98% |
4268
5.61 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1020
36.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
851
30.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1359
48.5 IPS |
|
|
Text Classification (F32)
|
100% |
488
701.1 IPS |
|
|
Text Classification (F16)
|
100% |
648
931.0 IPS |
|
|
Text Classification (I8)
|
92% |
238
342.5 IPS |
|
|
Machine Translation (F32)
|
100% |
116
2.14 IPS |
|
|
Machine Translation (F16)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (I8)
|
62% |
452
8.31 IPS |
