HP ProLiant DL385 G7
Geekbench AI Score
259
Single Precision Score
252
Half Precision Score
531
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Suhiel |
| Upload Date | February 21 2025 06:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Opteron(TM) Processor 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% |
140
26.0 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
100% |
331
61.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
302
4.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
302
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
856
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
87% |
398
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
480
5.70 IPS |
|
|
Face Detection (Q)
|
97% |
1002
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
424
3.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
441
3.40 IPS |
|
|
Depth Estimation (Q)
|
81% |
1006
7.95 IPS |
|
|
Style Transfer (SP)
|
100% |
689
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
2605
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
597
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.9 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.9 IPS |
|
|
Text Classification (Q)
|
91% |
169
227.6 IPS |
|
|
Machine Translation (SP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (Q)
|
100% |
198
3.41 IPS |
