HP ProLiant ML30 Gen9
Geekbench AI Score
2124
Single Precision Score
2161
Half Precision Score
3249
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 10 2024 08:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1270 v5 @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP ProLiant ML30 Gen9 |
| Motherboard | HP ProLiant ML30 Gen9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1270 v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
1353
251.7 IPS |
|
|
Image Classification (Q)
|
100% |
1900
353.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1942
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2380
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
4867
5.71 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (Q)
|
87% |
2005
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
5309
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3697
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3670
28.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5722
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8123
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8025
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14596
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3052
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1469
1.96 KIPS |
|
|
Text Classification (Q)
|
91% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2255
38.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2256
38.9 IPS |
