HP HP Pro SFF 400 G9 Desktop PC
Geekbench AI Score
3561
Single Precision Score
1443
Half Precision Score
6683
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | April 10 2026 11:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pro SFF 400 G9 Desktop PC |
| Motherboard | HP 8C5A |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2846
529.2 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.4 IPS |
|
|
Image Classification (Q)
|
99% |
5116
954.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7946
129.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6110
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3749
4.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
20561
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
86% |
5682
456.6 IPS |
|
|
Face Detection (SP)
|
100% |
5761
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
8616
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7651
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2009
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13602
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13862
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9122
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17026
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1825
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5072
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
718
958.4 IPS |
|
|
Text Classification (Q)
|
97% |
1358
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2724
54.7 IPS |
