iXsystems RS520-E9-RS12-E-IXN
Geekbench ML Score
911
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 06:37 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% |
1150
215.2 IPS |
|
|
Image Classification (F16)
|
100% |
1079
202.0 IPS |
|
|
Image Classification (I8)
|
99% |
760
142.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1834
30.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1845
30.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
679
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1626
1.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
2023
2.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
2615
3.17 IPS |
|
|
Object Detection (F32)
|
100% |
860
64.2 IPS |
|
|
Object Detection (F16)
|
100% |
943
70.4 IPS |
|
|
Object Detection (I8)
|
65% |
625
46.7 IPS |
|
|
Face Detection (F32)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (F16)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (I8)
|
87% |
1290
15.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1110
8.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
784
6.08 IPS |
|
|
Depth Estimation (I8)
|
95% |
827
6.42 IPS |
|
|
Style Transfer (F32)
|
100% |
1869
2.46 IPS |
|
|
Style Transfer (F16)
|
100% |
1789
2.35 IPS |
|
|
Style Transfer (I8)
|
98% |
3222
4.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1058
37.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
375
13.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
703
25.1 IPS |
|
|
Text Classification (F32)
|
100% |
421
604.7 IPS |
|
|
Text Classification (F16)
|
100% |
779
1.12 KIPS |
|
|
Text Classification (I8)
|
92% |
238
342.5 IPS |
|
|
Machine Translation (F32)
|
100% |
556
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
420
7.73 IPS |
|
|
Machine Translation (I8)
|
62% |
58
1.06 IPS |
