HP HP Pro Tower 400 G9 PCI Desktop PC
Geekbench AI Score
2397
Single Precision Score
3323
Half Precision Score
4930
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | May 01 2025 12:27 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 Tower 400 G9 PCI Desktop PC |
| Motherboard | HP 8C59 |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1573
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
2588
481.3 IPS |
|
|
Image Classification (Q)
|
99% |
3399
634.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3757
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4446
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4353
5.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
3181
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
13061
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1411
112.0 IPS |
|
|
Object Detection (HP)
|
98% |
2277
181.2 IPS |
|
|
Object Detection (Q)
|
90% |
3914
312.9 IPS |
|
|
Face Detection (SP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
7457
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
8812
104.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5050
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8343
64.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
11252
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11238
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17604
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29761
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3279
121.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6630
245.5 IPS |
|
|
Text Classification (SP)
|
71% |
668
966.7 IPS |
|
|
Text Classification (HP)
|
71% |
688
995.2 IPS |
|
|
Text Classification (Q)
|
92% |
679
911.8 IPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
98% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
100% |
828
14.3 IPS |
