HP HP EliteDesk 800 G2 SFF
Geekbench AI Score
1735
Single Precision Score
1693
Half Precision Score
3023
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 06:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Windows Server 2022 Standard (64-bit) |
| Model | HP HP EliteDesk 800 G2 SFF |
| Motherboard | HP 8054 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1176
218.8 IPS |
|
|
Image Classification (HP)
|
100% |
1165
216.6 IPS |
|
|
Image Classification (Q)
|
100% |
1955
363.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1771
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2560
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2560
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
4994
5.86 IPS |
|
|
Object Detection (SP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (HP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (Q)
|
87% |
1971
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
4754
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3061
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
5381
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7030
9.04 IPS |
|
|
Style Transfer (HP)
|
100% |
7016
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
13937
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2917
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (Q)
|
91% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1555
26.8 IPS |
