HP HP ProDesk 400 G4 SFF
Geekbench AI Score
1895
Single Precision Score
1892
Half Precision Score
3212
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 09:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7500 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProDesk 400 G4 SFF |
| Motherboard | HP 82A2 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1240
230.6 IPS |
|
|
Image Classification (HP)
|
100% |
1240
230.6 IPS |
|
|
Image Classification (Q)
|
100% |
2047
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1928
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2761
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2756
3.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
5321
6.24 IPS |
|
|
Object Detection (SP)
|
100% |
1129
89.6 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
87% |
2118
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
5023
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3280
25.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
3265
25.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
5870
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7732
9.94 IPS |
|
|
Style Transfer (HP)
|
100% |
7733
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
14964
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3094
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1502
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1502
2.01 KIPS |
|
|
Text Classification (Q)
|
91% |
1248
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (Q)
|
90% |
1543
26.8 IPS |
