HP HP Pro SFF 400 G9 Desktop PC
Geekbench AI Score
4398
Single Precision Score
4772
Half Precision Score
10636
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | April 10 2026 12:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
3111
578.6 IPS |
|
|
Image Classification (HP)
|
100% |
3118
579.8 IPS |
|
|
Image Classification (Q)
|
100% |
7010
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3754
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3797
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6961
112.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5797
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5541
6.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
21549
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2894
229.5 IPS |
|
|
Object Detection (HP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (Q)
|
88% |
7352
589.4 IPS |
|
|
Face Detection (SP)
|
100% |
4357
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
6406
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
9330
110.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4201
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7409
57.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
18685
145.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17176
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17000
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
59273
76.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3556
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11453
424.2 IPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2847
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
4575
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4430
76.3 IPS |
