HP ProLiant DL385 G7
Geekbench AI Score
446
Single Precision Score
243
Half Precision Score
647
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Suhiel |
| Upload Date | February 21 2025 05:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Opteron 6276 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP ProLiant DL385 G7 |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Opteron 6276 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 21 Model 1 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (HP)
|
100% |
91
17.0 IPS |
|
|
Image Classification (Q)
|
96% |
723
135.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
458
7.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
1672
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.62 IPS |
|
|
Object Detection (Q)
|
58% |
444
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (HP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (Q)
|
96% |
1156
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
359
2.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
1191
9.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2094
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2030
2.61 IPS |
|
|
Style Transfer (Q)
|
87% |
2631
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
375
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.0 IPS |
|
|
Text Classification (HP)
|
100% |
107
142.3 IPS |
|
|
Text Classification (Q)
|
97% |
102
136.1 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
118
2.02 IPS |
|
|
Machine Translation (Q)
|
68% |
381
7.36 IPS |
