FUJITSU PRIMERGY RX2520 M1
Geekbench AI Score
26
Single Precision Score
26
Half Precision Score
19
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | xDJoelDx |
| Upload Date | December 06 2024 09:38 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2403 v2 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | FUJITSU PRIMERGY RX2520 M1 |
| Motherboard | FUJITSU D3169-A1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2403 v2 |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15
2.87 IPS |
|
|
Image Classification (HP)
|
100% |
15
2.88 IPS |
|
|
Image Classification (Q)
|
97% |
12
2.27 IPS |
|
|
Image Segmentation (SP)
|
100% |
21
0.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
21
0.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
16
0.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
25
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
25
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
20
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
15
1.19 IPS |
|
|
Object Detection (HP)
|
100% |
15
1.19 IPS |
|
|
Object Detection (Q)
|
87% |
12
0.94 IPS |
|
|
Face Detection (SP)
|
100% |
49
0.59 IPS |
|
|
Face Detection (HP)
|
100% |
49
0.59 IPS |
|
|
Face Detection (Q)
|
97% |
38
0.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
36
0.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
36
0.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
24
0.22 IPS |
|
|
Style Transfer (SP)
|
100% |
75
0.10 IPS |
|
|
Style Transfer (HP)
|
100% |
75
0.10 IPS |
|
|
Style Transfer (Q)
|
98% |
60
0.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16
0.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16
0.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13
0.46 IPS |
|
|
Text Classification (SP)
|
100% |
19
26.0 IPS |
|
|
Text Classification (HP)
|
100% |
19
25.5 IPS |
|
|
Text Classification (Q)
|
91% |
14
18.9 IPS |
|
|
Machine Translation (SP)
|
100% |
37
0.64 IPS |
|
|
Machine Translation (HP)
|
100% |
37
0.64 IPS |
|
|
Machine Translation (Q)
|
58% |
19
0.45 IPS |
