Dell Inc. PowerEdge R7625
Geekbench AI Score
1445
Single Precision Score
393
Half Precision Score
1975
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kngtrider |
| Upload Date | August 15 2024 07:35 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 9184X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | Dell Inc. PowerEdge R7625 |
| Motherboard | Dell Inc. 0H1TJT |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9184X |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 2 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
68
12.6 IPS |
|
|
Image Classification (Q)
|
99% |
788
147.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
2149
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13032
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5429
6.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
27590
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (HP)
|
100% |
93
7.36 IPS |
|
|
Object Detection (Q)
|
88% |
383
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
156
1.86 IPS |
|
|
Face Detection (Q)
|
97% |
1974
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4208
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
76% |
4286
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10349
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11029
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16587
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.1 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.9 IPS |
|
|
Text Classification (Q)
|
97% |
280
375.6 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
60% |
1213
27.1 IPS |
