Dell Inc. PowerEdge R6515
Geekbench AI Score
2346
Single Precision Score
2315
Half Precision Score
2321
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boriga7 |
| Upload Date | June 24 2025 01:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7H12 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2019 Datacenter (64-bit) |
| Model | Dell Inc. PowerEdge R6515 |
| Motherboard | Dell Inc. 0R4CNN |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7H12 |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1234
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.3 IPS |
|
|
Image Classification (Q)
|
100% |
1353
251.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2981
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7261
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
7530
8.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
9508
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (Q)
|
87% |
1530
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (Q)
|
97% |
5101
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3970
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4300
33.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
5129
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17790
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18163
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23373
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2544
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
676
901.6 IPS |
|
|
Text Classification (HP)
|
100% |
585
780.5 IPS |
|
|
Text Classification (Q)
|
91% |
81
108.3 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
100% |
614
10.6 IPS |
