HP ProLiant ML330 G6
Geekbench AI Score
45
Single Precision Score
45
Half Precision Score
35
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | xDJoelDx |
| Upload Date | December 06 2024 08:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon X5650 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | HP ProLiant ML330 G6 |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5650 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 47.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
26
4.90 IPS |
|
|
Image Classification (HP)
|
100% |
26
4.83 IPS |
|
|
Image Classification (Q)
|
97% |
22
4.09 IPS |
|
|
Image Segmentation (SP)
|
100% |
36
0.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
37
0.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
28
0.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
44
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
43
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
38
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
25
2.02 IPS |
|
|
Object Detection (HP)
|
100% |
25
2.02 IPS |
|
|
Object Detection (Q)
|
87% |
21
1.67 IPS |
|
|
Face Detection (SP)
|
100% |
86
1.02 IPS |
|
|
Face Detection (HP)
|
100% |
86
1.02 IPS |
|
|
Face Detection (Q)
|
97% |
69
0.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
62
0.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
62
0.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
43
0.40 IPS |
|
|
Style Transfer (SP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
133
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
116
0.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28
1.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28
1.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
24
0.88 IPS |
|
|
Text Classification (SP)
|
100% |
34
45.1 IPS |
|
|
Text Classification (HP)
|
100% |
33
44.6 IPS |
|
|
Text Classification (Q)
|
91% |
25
33.7 IPS |
|
|
Machine Translation (SP)
|
100% |
57
0.97 IPS |
|
|
Machine Translation (HP)
|
100% |
56
0.97 IPS |
|
|
Machine Translation (Q)
|
58% |
30
0.71 IPS |
