HP HP Pro Tower 400 G9 PCI Desktop PC
Geekbench AI Score
8987
Single Precision Score
17434
Half Precision Score
6307
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | May 01 2025 12:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| 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% |
3859
717.6 IPS |
|
|
Image Classification (HP)
|
99% |
8354
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
3157
588.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5442
88.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8855
143.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4361
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37256
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121445
141.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31697
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
4194
332.7 IPS |
|
|
Object Detection (HP)
|
100% |
9242
733.1 IPS |
|
|
Object Detection (Q)
|
84% |
3483
280.9 IPS |
|
|
Face Detection (SP)
|
100% |
8822
104.8 IPS |
|
|
Face Detection (HP)
|
100% |
16463
195.6 IPS |
|
|
Face Detection (Q)
|
97% |
7756
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20626
158.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48268
371.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15065
120.7 IPS |
|
|
Style Transfer (SP)
|
100% |
66183
85.1 IPS |
|
|
Style Transfer (HP)
|
100% |
173944
223.6 IPS |
|
|
Style Transfer (Q)
|
98% |
53752
69.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13569
501.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25958
958.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7985
295.7 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3179
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2740
47.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1055
19.8 IPS |
