Dell Inc. PowerEdge R6515
Geekbench AI Score
2136
Single Precision Score
712
Half Precision Score
2466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boriga7 |
| Upload Date | June 24 2025 01:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7H12 |
| 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% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
96% |
2214
413.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
1532
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13064
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4802
5.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
16051
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
58% |
1765
192.8 IPS |
|
|
Face Detection (SP)
|
100% |
3810
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (Q)
|
96% |
4783
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6476
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1230
9.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
6575
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16413
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9968
12.8 IPS |
|
|
Style Transfer (Q)
|
87% |
18362
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
751
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
481
641.5 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.5 IPS |
|
|
Text Classification (Q)
|
97% |
179
239.4 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
68% |
1115
21.5 IPS |
