HP ProLiant DL360 G7
Geekbench AI Score
40
Single Precision Score
40
Half Precision Score
31
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | MattyMultiMedia |
| Upload Date | April 11 2025 08:58 PM |
| Views | 5 |
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% |
23
4.19 IPS |
|
|
Image Classification (HP)
|
100% |
23
4.21 IPS |
|
|
Image Classification (Q)
|
97% |
19
3.59 IPS |
|
|
Image Segmentation (SP)
|
100% |
33
0.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
32
0.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
26
0.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
40
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
40
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
35
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
23
1.80 IPS |
|
|
Object Detection (HP)
|
100% |
23
1.81 IPS |
|
|
Object Detection (Q)
|
87% |
18
1.46 IPS |
|
|
Face Detection (SP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
97% |
58
0.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
57
0.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
56
0.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
39
0.36 IPS |
|
|
Style Transfer (SP)
|
100% |
119
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
120
0.15 IPS |
|
|
Style Transfer (Q)
|
98% |
107
0.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26
0.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26
0.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
21
0.79 IPS |
|
|
Text Classification (SP)
|
100% |
26
34.9 IPS |
|
|
Text Classification (HP)
|
100% |
29
38.3 IPS |
|
|
Text Classification (Q)
|
91% |
22
29.3 IPS |
|
|
Machine Translation (SP)
|
100% |
47
0.82 IPS |
|
|
Machine Translation (HP)
|
100% |
48
0.83 IPS |
|
|
Machine Translation (Q)
|
58% |
25
0.59 IPS |
