HP HP EliteDesk 800 G4 SFF
Geekbench AI Score
2248
Single Precision Score
2267
Half Precision Score
3472
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vtomi07 |
| Upload Date | December 15 2024 05:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-8100 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 SFF |
| Motherboard | HP 83E1 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (Q)
|
100% |
2137
397.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2298
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2825
3.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
5410
6.35 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (Q)
|
87% |
2163
173.5 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
5641
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3667
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3690
28.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5994
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7962
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8048
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15153
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3160
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (Q)
|
91% |
1248
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2195
37.8 IPS |
