HP HP ProDesk 400 G4 SFF
Geekbench AI Score
683
Single Precision Score
393
Half Precision Score
798
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | KTJohnson |
| Upload Date | October 14 2024 10:23 AM |
| Views | 4 |
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 SFF |
| Motherboard | HP 82A2 |
| Power Plan | High performance |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
96% |
607
113.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
481
7.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1298
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1070
1.25 IPS |
|
|
Pose Estimation (Q)
|
87% |
2156
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.9 IPS |
|
|
Object Detection (Q)
|
86% |
396
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
597
7.10 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (Q)
|
96% |
1083
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1086
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.35 IPS |
|
|
Depth Estimation (Q)
|
77% |
1165
9.33 IPS |
|
|
Style Transfer (SP)
|
100% |
2714
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2194
2.82 IPS |
|
|
Style Transfer (Q)
|
87% |
4088
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
812
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.5 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.3 IPS |
|
|
Text Classification (Q)
|
97% |
196
262.1 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (Q)
|
60% |
517
11.5 IPS |
