Hewlett-Packard HP EliteDesk 800 G1 TWR
Geekbench AI Score
3580
Single Precision Score
3619
Half Precision Score
2868
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 03:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P2000 |
| 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% |
898
167.0 IPS |
|
|
Image Classification (HP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (Q)
|
99% |
831
155.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1747
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23611
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13994
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
19811
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (Q)
|
83% |
1112
89.8 IPS |
|
|
Face Detection (SP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
3498
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
2208
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8912
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8056
62.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7217
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40556
52.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25274
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32643
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7749
286.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5763
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5244
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1255
1.68 KIPS |
|
|
Text Classification (Q)
|
97% |
687
919.9 IPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
96% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
70% |
629
11.8 IPS |
