HP HP Pro SFF 400 G9 Desktop PC
Geekbench AI Score
1634
Single Precision Score
1683
Half Precision Score
1109
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | April 10 2026 11:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
705
131.0 IPS |
|
|
Image Classification (HP)
|
100% |
721
134.1 IPS |
|
|
Image Classification (Q)
|
100% |
593
110.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
764
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5099
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5655
6.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
3471
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
792
62.9 IPS |
|
|
Object Detection (HP)
|
98% |
672
53.5 IPS |
|
|
Object Detection (Q)
|
86% |
664
53.4 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1178
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3031
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3334
25.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2243
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10628
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14352
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7887
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
919
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
435
580.9 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.5 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
70% |
367
6.87 IPS |
