iXsystems RS520-E9-RS12-E-IXN
Geekbench ML Score
649
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | aebrownleeiv |
| Upload Date | August 16 2024 06:38 PM |
| Views | 2 |
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% |
1178
220.4 IPS |
|
|
Image Classification (F16)
|
100% |
1064
199.1 IPS |
|
|
Image Classification (I8)
|
99% |
351
65.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1269
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
619
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1592
1.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
1558
1.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
2311
2.80 IPS |
|
|
Object Detection (F32)
|
100% |
391
29.2 IPS |
|
|
Object Detection (F16)
|
100% |
241
18.0 IPS |
|
|
Object Detection (I8)
|
65% |
376
28.1 IPS |
|
|
Face Detection (F32)
|
100% |
875
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (I8)
|
87% |
944
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1556
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1429
11.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
835
6.48 IPS |
|
|
Style Transfer (F32)
|
100% |
1818
2.39 IPS |
|
|
Style Transfer (F16)
|
100% |
1778
2.34 IPS |
|
|
Style Transfer (I8)
|
98% |
3738
4.92 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
441
15.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
489
17.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
352
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
56
81.2 IPS |
|
|
Text Classification (F16)
|
100% |
713
1.02 KIPS |
|
|
Text Classification (I8)
|
92% |
60
85.9 IPS |
|
|
Machine Translation (F32)
|
100% |
152
2.81 IPS |
|
|
Machine Translation (F16)
|
100% |
161
2.96 IPS |
|
|
Machine Translation (I8)
|
62% |
259
4.76 IPS |
