HP HP Pro SFF 400 G9 Desktop PC
Geekbench AI Score
2624
Single Precision Score
3851
Half Precision Score
5994
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | April 10 2026 12:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.5 IPS |
|
|
Image Classification (Q)
|
99% |
3931
733.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3767
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4343
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
3062
3.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
12616
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.3 IPS |
|
|
Object Detection (HP)
|
98% |
2246
178.7 IPS |
|
|
Object Detection (Q)
|
90% |
4297
343.6 IPS |
|
|
Face Detection (SP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
7352
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
9911
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4892
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8300
64.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11283
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11119
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15799
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29064
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3198
118.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6556
242.8 IPS |
|
|
Text Classification (SP)
|
71% |
1155
1.67 KIPS |
|
|
Text Classification (HP)
|
71% |
1576
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
1382
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2240
38.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2199
37.9 IPS |
