HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
1415
Single Precision Score
2039
Half Precision Score
1953
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | fmcpherson |
| Upload Date | August 16 2024 09:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G3 SFF |
| Motherboard | HP 8299 |
| Power Plan | High performance |
| 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% |
918
170.8 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
100% |
1274
237.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1704
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2315
2.70 IPS |
|
|
Pose Estimation (HP)
|
99% |
2133
2.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
3177
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
873
69.2 IPS |
|
|
Object Detection (HP)
|
99% |
1429
113.7 IPS |
|
|
Object Detection (Q)
|
88% |
1343
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
2335
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (Q)
|
97% |
3624
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2707
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4610
35.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
4091
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6516
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
8809
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7806
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1864
69.0 IPS |
|
|
Text Classification (SP)
|
71% |
546
790.2 IPS |
|
|
Text Classification (HP)
|
71% |
636
920.0 IPS |
|
|
Text Classification (Q)
|
92% |
491
659.6 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
97% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
90% |
825
14.3 IPS |
