iXsystems TRUENAS-R60
Geekbench AI Score
1848
Single Precision Score
534
Half Precision Score
3273
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 06 2025 01:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7V73X 64-Core Processor |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | iXsystems TRUENAS-R60 |
| Motherboard | TYAN S8036GM2NE |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7V73X 64-Core Processor |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 2 |
| Base Frequency | 1.85 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 440.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.2 IPS |
|
|
Image Classification (Q)
|
94% |
2089
390.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1401
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4817
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3621
4.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
21335
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
845
67.1 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
58% |
1023
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
191
2.27 IPS |
|
|
Face Detection (Q)
|
96% |
4881
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4654
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
7864
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17121
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10970
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
12376
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1771
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
351
468.3 IPS |
|
|
Text Classification (Q)
|
97% |
1056
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
68% |
2492
48.1 IPS |
