HP HP Pro SFF 400 G9 Desktop PC
Geekbench AI Score
1708
Single Precision Score
1763
Half Precision Score
1154
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 06:38 AM |
| Views | 5 |
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 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
739
137.4 IPS |
|
|
Image Classification (HP)
|
100% |
748
139.1 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5283
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5817
6.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
3548
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
823
65.3 IPS |
|
|
Object Detection (HP)
|
98% |
697
55.4 IPS |
|
|
Object Detection (Q)
|
86% |
689
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1241
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3119
24.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3406
26.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2298
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10794
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14361
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7973
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
506
674.7 IPS |
|
|
Text Classification (Q)
|
97% |
429
574.3 IPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
70% |
391
7.33 IPS |
