HP HP Pro SFF 400 G9 Desktop PC
Geekbench AI Score
6477
Single Precision Score
5368
Half Precision Score
4695
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 06:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2718
505.5 IPS |
|
|
Image Classification (HP)
|
100% |
2612
485.8 IPS |
|
|
Image Classification (Q)
|
99% |
2337
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4292
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3877
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3508
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23644
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15960
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
20186
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
3201
253.9 IPS |
|
|
Object Detection (HP)
|
100% |
3118
247.4 IPS |
|
|
Object Detection (Q)
|
83% |
2675
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
6767
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
6242
74.2 IPS |
|
|
Face Detection (Q)
|
97% |
5582
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14619
112.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11251
86.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11008
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44982
57.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30627
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36371
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8542
315.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7399
273.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5811
215.2 IPS |
|
|
Text Classification (SP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2634
45.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2682
46.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1081
20.3 IPS |
