Hewlett-Packard HP ProDesk 400 G1 MT
Geekbench AI Score
1071
Single Precision Score
1103
Half Precision Score
790
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 22 2025 03:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProDesk 400 G1 MT |
| Motherboard | Hewlett-Packard 198E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
208
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.7 IPS |
|
|
Image Classification (Q)
|
99% |
195
36.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
512
8.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
4773
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
4032
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
83% |
265
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
563
6.70 IPS |
|
|
Face Detection (HP)
|
100% |
871
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
505
6.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1940
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1814
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1590
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8651
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5424
6.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6914
8.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1472
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1252
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
618
825.3 IPS |
|
|
Text Classification (HP)
|
100% |
626
836.1 IPS |
|
|
Text Classification (Q)
|
97% |
318
425.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
96% |
982
17.0 IPS |
|
|
Machine Translation (Q)
|
70% |
402
7.55 IPS |
