HP HP ProDesk 400 G4 SFF
Geekbench AI Score
1898
Single Precision Score
1898
Half Precision Score
3206
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 05:38 PM |
| Views | 17 |
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% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
1250
232.4 IPS |
|
|
Image Classification (Q)
|
100% |
2054
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
916
14.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1926
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2761
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2760
3.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
5303
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
87% |
2105
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
5003
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3290
25.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
3292
25.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
5873
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7758
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
7739
9.95 IPS |
|
|
Style Transfer (Q)
|
98% |
14905
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1584
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3100
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (Q)
|
91% |
1248
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (Q)
|
90% |
1537
26.7 IPS |
