HP HP ProDesk 400 G4 MT
Geekbench AI Score
1303
Single Precision Score
651
Half Precision Score
2054
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 11:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProDesk 400 G4 MT |
| Motherboard | HP 82A1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
96% |
1239
231.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
1415
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1734
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2176
2.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
4719
5.58 IPS |
|
|
Object Detection (SP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
58% |
1323
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
96% |
3336
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3041
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1040
8.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
4212
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6058
7.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4819
6.19 IPS |
|
|
Style Transfer (Q)
|
87% |
6411
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1679
62.2 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
331
441.5 IPS |
|
|
Text Classification (Q)
|
97% |
736
985.7 IPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
68% |
1099
21.2 IPS |
