HP HP Pro Tower 400 G9 PCI Desktop PC
Geekbench AI Score
3936
Single Precision Score
1271
Half Precision Score
6219
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | May 01 2025 12:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| 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% |
3212
597.3 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
5458
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3037
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7748
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3697
4.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
24179
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2879
228.4 IPS |
|
|
Object Detection (HP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (Q)
|
86% |
5629
452.4 IPS |
|
|
Face Detection (SP)
|
100% |
8005
95.1 IPS |
|
|
Face Detection (HP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
8660
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9105
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1695
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14606
116.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17376
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9001
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19417
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4301
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.6 IPS |
|
|
Text Classification (Q)
|
97% |
1319
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2756
55.4 IPS |
