iXsystems RS520-E9-RS12-E-IXN
Geekbench ML Score
922
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% |
1227
229.5 IPS |
|
|
Image Classification (F16)
|
100% |
1247
233.4 IPS |
|
|
Image Classification (I8)
|
99% |
805
150.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1361
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1273
21.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
689
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1549
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
1679
2.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
2476
3.00 IPS |
|
|
Object Detection (F32)
|
100% |
820
61.2 IPS |
|
|
Object Detection (F16)
|
100% |
907
67.7 IPS |
|
|
Object Detection (I8)
|
65% |
717
53.5 IPS |
|
|
Face Detection (F32)
|
100% |
1323
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
608
7.23 IPS |
|
|
Face Detection (I8)
|
87% |
591
7.03 IPS |
|
|
Depth Estimation (F32)
|
100% |
944
7.32 IPS |
|
|
Depth Estimation (F16)
|
100% |
937
7.27 IPS |
|
|
Depth Estimation (I8)
|
95% |
1250
9.69 IPS |
|
|
Style Transfer (F32)
|
100% |
1795
2.36 IPS |
|
|
Style Transfer (F16)
|
100% |
1771
2.33 IPS |
|
|
Style Transfer (I8)
|
98% |
3179
4.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
686
24.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1399
50.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
955
34.1 IPS |
|
|
Text Classification (F32)
|
100% |
319
458.2 IPS |
|
|
Text Classification (F16)
|
100% |
548
787.9 IPS |
|
|
Text Classification (I8)
|
92% |
241
346.3 IPS |
|
|
Machine Translation (F32)
|
100% |
189
3.47 IPS |
|
|
Machine Translation (F16)
|
100% |
946
17.4 IPS |
|
|
Machine Translation (I8)
|
62% |
480
8.84 IPS |
