Hewlett-Packard HP EliteDesk 800 G1 TWR
Geekbench AI Score
1122
Single Precision Score
599
Half Precision Score
1208
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 03:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP EliteDesk 800 G1 TWR |
| Motherboard | Hewlett-Packard 18E4 |
| Power Plan | Maximlis teljestmny |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
96% |
1026
191.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
491
7.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
740
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1809
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1502
1.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
2342
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
58% |
687
75.1 IPS |
|
|
Face Detection (SP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (Q)
|
96% |
2240
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2140
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
844
6.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
2381
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4286
5.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3270
4.20 IPS |
|
|
Style Transfer (Q)
|
87% |
4471
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
662
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
927
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
668
892.0 IPS |
|
|
Text Classification (HP)
|
100% |
364
486.0 IPS |
|
|
Text Classification (Q)
|
97% |
266
357.0 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (Q)
|
68% |
922
17.8 IPS |
