HP ProLiant DL360 G7
Geekbench AI Score
44
Single Precision Score
43
Half Precision Score
34
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | MattyMultiMedia |
| Upload Date | April 13 2025 08:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5649 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | HP ProLiant DL360 G7 |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5649 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.53 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 55.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
25
4.72 IPS |
|
|
Image Classification (HP)
|
100% |
25
4.71 IPS |
|
|
Image Classification (Q)
|
97% |
21
3.99 IPS |
|
|
Image Segmentation (SP)
|
100% |
35
0.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
35
0.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
28
0.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
37
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
25
1.95 IPS |
|
|
Object Detection (HP)
|
100% |
25
1.96 IPS |
|
|
Object Detection (Q)
|
87% |
21
1.66 IPS |
|
|
Face Detection (SP)
|
100% |
83
0.98 IPS |
|
|
Face Detection (HP)
|
100% |
83
0.98 IPS |
|
|
Face Detection (Q)
|
97% |
67
0.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
60
0.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
60
0.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
42
0.39 IPS |
|
|
Style Transfer (SP)
|
100% |
126
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
126
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
111
0.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27
1.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27
1.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
23
0.84 IPS |
|
|
Text Classification (SP)
|
100% |
31
41.2 IPS |
|
|
Text Classification (HP)
|
100% |
31
41.2 IPS |
|
|
Text Classification (Q)
|
91% |
23
31.1 IPS |
|
|
Machine Translation (SP)
|
100% |
57
0.97 IPS |
|
|
Machine Translation (HP)
|
100% |
56
0.97 IPS |
|
|
Machine Translation (Q)
|
58% |
30
0.72 IPS |
